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Accelerated Real-time Cine and Flow under In-magnet Staged Exercise (2402.17877v2)

Published 27 Feb 2024 in eess.SP and eess.IV

Abstract: Background: Cardiovascular magnetic resonance imaging (CMR) is a wellestablished imaging tool for diagnosing and managing cardiac conditions. The integration of exercise stress with CMR (ExCMR) can enhance its diagnostic capacity. Despite recent advances in CMR technology, quantitative ExCMR during exercise remains technically challenging due to motion artifacts and limited spatial and temporal resolution. Methods: This study investigated the feasibility of biventricular functional and hemodynamic assessment using real-time (RT) ExCMR during a staged exercise protocol in 24 healthy volunteers. We applied a coil reweighting technique and employed high acceleration rates to minimize motion blurring and artifacts. We further applied a beat-selection technique that identified beats from the endexpiratory phase to minimize the impact of respiration-induced through-plane motion. Additionally, results from six patients were presented to demonstrate clinical feasibility. Results: Our findings indicated a consistent decrease in end-systolic volume and stable end-diastolic volume across exercise intensities, leading to increased stroke volume and ejection fraction. The selection of end-expiratory beats enhanced the repeatability of cardiac function parameters, as shown by scan-rescan tests in nine volunteers. High scores from a blinded image quality assessment indicated that coil reweighting effectively minimized motion artifacts. Conclusions: This study demonstrated the feasibility of RT ExCMR with inmagnet exercise in healthy subjects and patients. Our results indicate that high acceleration rates, coil reweighting, and selection of respiratory phase-specific heartbeats enhance image quality and repeatability of quantitative RT ExCMR.

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References (28)
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[2019] Indorkar, R., Kwong, R.Y., Romano, S., White, B.E., Chia, R.C., Trybula, M., Evans, K., Shenoy, C., Farzaneh-Far, A.: Global coronary flow reserve measured during stress cardiac magnetic resonance imaging is an independent predictor of adverse cardiovascular events. JACC: Cardiovascular Imaging 12(8 Part 2), 1686–1695 (2019) Kobayashi et al. [2008] Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arai, A.E., Schulz-Menger, J., Shah, D.J., Han, Y., Bandettini, W.P., Abraham, A., Woodard, P.K., Selvanayagam, J.B., Hamilton-Craig, C., Tan, R.-S., et al.: Stress perfusion cardiac magnetic resonance vs SPECT imaging for detection of coronary artery disease. Journal of American College of Cardiology 82(19), 1828–1838 (2023) Sakuma et al. [2005] Sakuma, H., Suzawa, N., Ichikawa, Y., Makino, K., Hirano, T., Kitagawa, K., Takeda, K.: Diagnostic accuracy of stress first-pass contrast-enhanced myocardial perfusion MRI compared with stress myocardial perfusion scintigraphy. American Journal of Roentgenology 185(1), 95–102 (2005) Indorkar et al. [2019] Indorkar, R., Kwong, R.Y., Romano, S., White, B.E., Chia, R.C., Trybula, M., Evans, K., Shenoy, C., Farzaneh-Far, A.: Global coronary flow reserve measured during stress cardiac magnetic resonance imaging is an independent predictor of adverse cardiovascular events. JACC: Cardiovascular Imaging 12(8 Part 2), 1686–1695 (2019) Kobayashi et al. [2008] Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Sakuma, H., Suzawa, N., Ichikawa, Y., Makino, K., Hirano, T., Kitagawa, K., Takeda, K.: Diagnostic accuracy of stress first-pass contrast-enhanced myocardial perfusion MRI compared with stress myocardial perfusion scintigraphy. American Journal of Roentgenology 185(1), 95–102 (2005) Indorkar et al. [2019] Indorkar, R., Kwong, R.Y., Romano, S., White, B.E., Chia, R.C., Trybula, M., Evans, K., Shenoy, C., Farzaneh-Far, A.: Global coronary flow reserve measured during stress cardiac magnetic resonance imaging is an independent predictor of adverse cardiovascular events. JACC: Cardiovascular Imaging 12(8 Part 2), 1686–1695 (2019) Kobayashi et al. [2008] Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Indorkar, R., Kwong, R.Y., Romano, S., White, B.E., Chia, R.C., Trybula, M., Evans, K., Shenoy, C., Farzaneh-Far, A.: Global coronary flow reserve measured during stress cardiac magnetic resonance imaging is an independent predictor of adverse cardiovascular events. JACC: Cardiovascular Imaging 12(8 Part 2), 1686–1695 (2019) Kobayashi et al. [2008] Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  2. Arai, A.E., Schulz-Menger, J., Shah, D.J., Han, Y., Bandettini, W.P., Abraham, A., Woodard, P.K., Selvanayagam, J.B., Hamilton-Craig, C., Tan, R.-S., et al.: Stress perfusion cardiac magnetic resonance vs SPECT imaging for detection of coronary artery disease. Journal of American College of Cardiology 82(19), 1828–1838 (2023) Sakuma et al. [2005] Sakuma, H., Suzawa, N., Ichikawa, Y., Makino, K., Hirano, T., Kitagawa, K., Takeda, K.: Diagnostic accuracy of stress first-pass contrast-enhanced myocardial perfusion MRI compared with stress myocardial perfusion scintigraphy. American Journal of Roentgenology 185(1), 95–102 (2005) Indorkar et al. [2019] Indorkar, R., Kwong, R.Y., Romano, S., White, B.E., Chia, R.C., Trybula, M., Evans, K., Shenoy, C., Farzaneh-Far, A.: Global coronary flow reserve measured during stress cardiac magnetic resonance imaging is an independent predictor of adverse cardiovascular events. JACC: Cardiovascular Imaging 12(8 Part 2), 1686–1695 (2019) Kobayashi et al. [2008] Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Sakuma, H., Suzawa, N., Ichikawa, Y., Makino, K., Hirano, T., Kitagawa, K., Takeda, K.: Diagnostic accuracy of stress first-pass contrast-enhanced myocardial perfusion MRI compared with stress myocardial perfusion scintigraphy. American Journal of Roentgenology 185(1), 95–102 (2005) Indorkar et al. [2019] Indorkar, R., Kwong, R.Y., Romano, S., White, B.E., Chia, R.C., Trybula, M., Evans, K., Shenoy, C., Farzaneh-Far, A.: Global coronary flow reserve measured during stress cardiac magnetic resonance imaging is an independent predictor of adverse cardiovascular events. JACC: Cardiovascular Imaging 12(8 Part 2), 1686–1695 (2019) Kobayashi et al. [2008] Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Indorkar, R., Kwong, R.Y., Romano, S., White, B.E., Chia, R.C., Trybula, M., Evans, K., Shenoy, C., Farzaneh-Far, A.: Global coronary flow reserve measured during stress cardiac magnetic resonance imaging is an independent predictor of adverse cardiovascular events. JACC: Cardiovascular Imaging 12(8 Part 2), 1686–1695 (2019) Kobayashi et al. [2008] Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  3. Sakuma, H., Suzawa, N., Ichikawa, Y., Makino, K., Hirano, T., Kitagawa, K., Takeda, K.: Diagnostic accuracy of stress first-pass contrast-enhanced myocardial perfusion MRI compared with stress myocardial perfusion scintigraphy. American Journal of Roentgenology 185(1), 95–102 (2005) Indorkar et al. [2019] Indorkar, R., Kwong, R.Y., Romano, S., White, B.E., Chia, R.C., Trybula, M., Evans, K., Shenoy, C., Farzaneh-Far, A.: Global coronary flow reserve measured during stress cardiac magnetic resonance imaging is an independent predictor of adverse cardiovascular events. JACC: Cardiovascular Imaging 12(8 Part 2), 1686–1695 (2019) Kobayashi et al. [2008] Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. 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Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Indorkar, R., Kwong, R.Y., Romano, S., White, B.E., Chia, R.C., Trybula, M., Evans, K., Shenoy, C., Farzaneh-Far, A.: Global coronary flow reserve measured during stress cardiac magnetic resonance imaging is an independent predictor of adverse cardiovascular events. JACC: Cardiovascular Imaging 12(8 Part 2), 1686–1695 (2019) Kobayashi et al. [2008] Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  4. Indorkar, R., Kwong, R.Y., Romano, S., White, B.E., Chia, R.C., Trybula, M., Evans, K., Shenoy, C., Farzaneh-Far, A.: Global coronary flow reserve measured during stress cardiac magnetic resonance imaging is an independent predictor of adverse cardiovascular events. JACC: Cardiovascular Imaging 12(8 Part 2), 1686–1695 (2019) Kobayashi et al. [2008] Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Kobayashi, M., Izawa, H., Cheng, X.W., Asano, H., Hirashiki, A., Unno, K., Ohshima, S., Yamada, T., Murase, Y., Kato, T.S., et al.: Dobutamine stress testing as a diagnostic tool for evaluation of myocardial contractile reserve in asymptomatic or mildly symptomatic patients with dilated cardiomyopathy. JACC: Cardiovascular Imaging 1(6), 718–726 (2008) Kramer et al. [2020] Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. 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Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. Journal of Cardiovascular Magnetic Resonance 22(1), 1–18 (2020) Leischik et al. [2007] Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. 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[2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. 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American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. 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Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. 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American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
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[2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Leischik, R., Dworrak, B., Littwitz, H., Gülker, H.: Prognostic significance of exercise stress echocardiography in 3329 outpatients (5-year longitudinal study). International Journal of Cardiology 119(3), 297–305 (2007) Pagnanelli and Camposano [2017] Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. 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[2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  8. Pagnanelli, R.A., Camposano, H.L.: Pharmacologic stress testing with myocardialperfusion imaging. Journal of Nuclear Medicine Technology 45(4), 249–252 (2017) Göransson et al. [2019] Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  9. Göransson, C., Vejlstrup, N., Carlsen, J.: Exercise cardiovascular magnetic resonance imaging allows differentiation of low-risk pulmonary arterial hypertension. Journal of Heart and Lung Transplantation 38(6), 627–635 (2019) Foster et al. [2012] Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). 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[2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. 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Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  10. Foster, E.L., Arnold, J.W., Jekic, M., Bender, J.A., Balasubramanian, V., Thavendiranathan, P., Dickerson, J.A., Raman, S.V., Simonetti, O.P.: MR-compatible treadmill for exercise stress cardiac magnetic resonance imaging. Magnetic Resonance in Medicine 67(3), 880–889 (2012) Raman et al. [2016] Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. 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Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  11. Raman, S.V., Dickerson, J.A., Mazur, W., Wong, T.C., Schelbert, E.B., Min, J.K., Scandling, D., Bartone, C., Craft, J.T., Thavendiranathan, P., et al.: Diagnostic performance of treadmill exercise cardiac magnetic resonance: the prospective, multicenter exercise CMR’s accuracy for cardiovascular stress testing (EXACT) trial. Journal of the American Heart Association 5(8), 003811 (2016) Lurz et al. [2009] Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Lurz, P., Muthurangu, V., Schievano, S., Nordmeyer, J., Bonhoeffer, P., Taylor, A.M., Hansen, M.S.: Feasibility and reproducibility of biventricular volumetric assessment of cardiac function during exercise using real-time radial k-t SENSE magnetic resonance imaging. Journal of Magnetic Resonance Imaging 29(5), 1062–1070 (2009) Craven et al. [2021] Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. 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American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). 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American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. 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Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. 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Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. 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[2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. 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[2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  13. Craven, T.P., Jex, N., Chew, P.G., Higgins, D.M., Bissell, M.M., Brown, L.A., Saunderson, C.E., Das, A., Chowdhary, A., Dall’Armellina, E., et al.: Exercise cardiovascular magnetic resonance: feasibility and development of biventricular function and great vessel flow assessment, during continuous exercise accelerated by Compressed SENSE: preliminary results in healthy volunteers. International Journal of Cardiovascular Imaging 37, 685–698 (2021) Edlund et al. [2022] Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Edlund, J., Haris, K., Ostenfeld, E., Carlsson, M., Heiberg, E., Johansson, S., Östenson, B., Jin, N., Aletras, A.H., Steding-Ehrenborg, K.: Validation and quantification of left ventricular function during exercise and free breathing from real-time cardiac magnetic resonance images. Scientific Reports 12(1), 5611 (2022) Li et al. [2021] Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
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[2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Li, Y.Y., Zhang, P., Rashid, S., Cheng, Y.J., Li, W., Schapiro, W., Gliganic, K., Yamashita, A.-M., Grgas, M., Haag, E., et al.: Real-time exercise stress cardiac MRI with fourier-series reconstruction from golden-angle radial data. Magnetic Resonance Imaging 75, 89–99 (2021) Morales et al. [2022] Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. 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American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
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Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Morales, M.A., Assana, S., Cai, X., Chow, K., Haji-Valizadeh, H., Sai, E., Tsao, C., Matos, J., Rodriguez, J., Berg, S., et al.: An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance 24(1), 1–14 (2022) Craven et al. [2020] Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. 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American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
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[2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  17. Craven, T.P., Tsao, C.W., La Gerche, A., Simonetti, O.P., Greenwood, J.P.: Exercise cardiovascular magnetic resonance: development, current utility and future applications. Journal of Cardiovascular Magnetic Resonance 22(1), 1–20 (2020) Chen et al. [2022] Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  18. Chen, C., Chandrasekaran, P., Liu, Y., Simonetti, O.P., Tong, M., Ahmad, R.: Ensuring respiratory phase consistency to improve cardiac function quantification in real-time CMR. Magnetic Resonance in Medicine 87(3), 1595–1604 (2022) Joshi et al. [2022] Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Joshi, M., Pruitt, A., Chen, C., Liu, Y., Ahmad, R.: Technical report (v1.0)–pseudo-random cartesian sampling for dynamic MRI. arXiv preprint arXiv:2206.03630 (2022) Rich et al. [2020] Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Rich, A., Gregg, M., Jin, N., Liu, Y., Potter, L., Simonetti, O., Ahmad, R.: Cartesian sampling with variable density and adjustable temporal resolution (CAVA). Magnetic Resonance in Medicine 83(6), 2015–2025 (2020) Arshad et al. [2023] Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. 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American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. 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American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
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Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. 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[2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. 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American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. 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American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
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  21. Arshad, S.M., Potter, L.C., Chen, C., Liu, Y., Chandrasekaran, P., Crabtree, C., Han, Y., Ahmad, R.: Motion-robust free-running cardiovascular MRI. arXiv preprint arXiv:2308.02088 (2023) Williams [2017] Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. 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Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. 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American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. 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[2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. 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American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  22. Williams, N.: The borg rating of perceived exertion (RPE) scale. Occupational Medicine 67(5), 404–405 (2017) Hansen and Sørensen [2013] Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. 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[2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  23. Hansen, M.S., Sørensen, T.S.: Gadgetron: an open source framework for medical image reconstruction. Magnetic Resonance in Medicine 69(6), 1768–1776 (2013) Chen et al. [2019] Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  24. Chen, C., Liu, Y., Schniter, P., Jin, N., Craft, J., Simonetti, O., Ahmad, R.: Sparsity adaptive reconstruction for highly accelerated cardiac MRI. Magnetic Resonance in Medicine 81(6), 3875–3887 (2019) Uecker et al. [2014] Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  25. Uecker, M., Lai, P., Murphy, M.J., Virtue, P., Elad, M., Pauly, J.M., Vasanawala, S.S., Lustig, M.: ESPIRiT–An eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA. Magnetic Resonance in Medicine 71(3), 990–1001 (2014) Petzschner et al. [2011] Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  26. Petzschner, F.H., Ponce, I.P., Blaimer, M., Jakob, P.M., Breuer, F.A.: Fast MR parameter mapping using k-t principal component analysis. Magnetic Resonance in Medicine 66(3), 706–716 (2011) Chen et al. [2023] Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  27. Chen, C., Liu, Y., Ding, Y., Tong, M., Han, Y., Ahmad, R.: Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging. In: ISMRM ISMRT Annual Meeting Exhibition, Toronto, Canada, p. 1152 (2023) Claessen et al. [2014] Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014) Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)
  28. Claessen, G., Claus, P., Delcroix, M., Bogaert, J., Gerche, A.L., Heidbuchel, H.: Interaction between respiration and right versus left ventricular volumes at rest and during exercise: a real-time cardiac magnetic resonance study. American Journal of Physiology-Heart and Circulatory Physiology 306(6), 816–824 (2014)

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