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STEMPO -- dynamic X-ray tomography phantom

Published 26 Sep 2022 in eess.IV | (2209.12471v3)

Abstract: This is the documentation for Spatio-TEmporal Motor-POwered (STEMPO) phantom for dynamic X-ray tomography. Provided are different measurements designed for testing dynamic tomography reconstruction algorithms. The measured data and additional materials are available at www.fips.fi/dataset.php and doi.org/10.5281/zenodo.7081688 for open use by the scientific community, as long as the data and this documentation are appropriately referenced. The files contain: (1) measurement data (sinograms) from one static scan and two dynamic scans (same movement but different choice of projection directions). All data is provided both for 2D and 3D geometry in varying resolution levels; (2) approximation of the ground truth obtained using the known motion model; and (3) short example codes to showcase how the data could be used to test and validate dynamic tomography algorithms.

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References (24)
  1. “Fast and flexible X-ray tomography using the ASTRA toolbox” DOI: 10.1364/OE.24.025129 In Optics express 24.22 Optical Society of America, 2016, pp. 25129–25147
  2. “The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography” DOI: 10.1016/j.ultramic.2015.05.002 In Ultramicroscopy 157 Elsevier, 2015, pp. 35–47
  3. “Spot – A Linear-Operator Toolbox” http://www.cs.ubc.ca/labs/scl/spot/ (Accessed: 20.11.2019), 2012
  4. Stephanie E Blanke, Bernadette N Hahn and Anne Wald “Inverse problems with inexact forward operator: iterative regularization and application in dynamic imaging” In Inverse Problems 36.12 IOP Publishing, 2020, pp. 124001
  5. Tatiana A Bubba and Luca Ratti “Shearlet-based regularization in statistical inverse learning with an application to x-ray tomography” In Inverse Problems 38.5 IOP Publishing, 2022, pp. 054001
  6. “Sparse dynamic tomography: a shearlet-based approach for iodine perfusion in plant stems” In Inverse Problems 36.9 IOP Publishing, 2020, pp. 094002
  7. “A variational reconstruction method for undersampled dynamic x-ray tomography based on physical motion models” In Inverse Problems 33.12 IOP Publishing, 2017, pp. 124008
  8. “2D-3D motion registration of rigid objects within a soft tissue structure” In 7th International Conference on Image Formation in X-Ray Computed Tomography 12304, 2022, pp. 518–526 SPIE
  9. “Respiration-correlated spiral CT: a method of measuring respiratory-induced anatomic motion for radiation treatment planning” In Medical physics 30.1 Wiley Online Library, 2003, pp. 88–97
  10. “Robust principal component analysis-based four-dimensional computed tomography” In Physics in Medicine & Biology 56.11 IOP Publishing, 2011, pp. 3181
  11. Andreas Hauptmann, Ozan Öktem and Carola Schönlieb “Image reconstruction in dynamic inverse problems with temporal models” In Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision Springer, 2021, pp. 1–31
  12. Tommi Heikkilä “STEMPO - dynamic X-ray tomography phantom” Zenodo, 2022 DOI: 10.5281/zenodo.7147139
  13. Tommi Heikkilä, Hanna Help and Alexander Meaney “Gel phantom data for dynamic X-ray tomography” Zenodo, 2020 DOI: 10.5281/zenodo.4540623
  14. Alexander Meaney “Design and Construction of an X-ray Computed Tomography Imaging System” URN: NBN:fi-fe2017112251537, 2015
  15. Alexander Meaney “HelTomo – University of Helsinki CT Data Toolbox v2.0.0” https://github.com/Diagonalizable/HelTomo (Accessed: 9.9.2022), Github, 2022
  16. “TIMBIR: A method for time-space reconstruction from interlaced views” In IEEE Transactions on Computational Imaging 1.2 IEEE, 2015, pp. 96–111
  17. “Dynamic multi-source X-ray tomography using a spacetime level set method” In Journal of Computational Physics 291 Elsevier, 2015, pp. 218–237
  18. Ricardo Otazo, Emmanuel Candes and Daniel K Sodickson “Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components” In Magnetic resonance in medicine 73.3 Wiley Online Library, 2015, pp. 1125–1136
  19. Zenith Purisha, Alexander Meaney and Samuli Siltanen “Tomographic X-ray data of 3D emoji” Zenodo, 2018 DOI: 10.5281/zenodo.1183532
  20. “Controlled wavelet domain sparsity for x-ray tomography” In Measurement Science and Technology 29.1 IOP Publishing, 2017, pp. 014002
  21. “Tensor-based dictionary learning for dynamic tomographic reconstruction” In Physics in Medicine & Biology 60.7 IOP Publishing, 2015, pp. 2803
  22. “Raw micro-CT data of solute transport in porous media” Digital Rocks Portal, http://www.digitalrocksportal.org/projects/319, 2020 DOI: 10.17612/rwvy-ac93
  23. Jef Vandemeulebroucke, David Sarrut and Patrick Clarysse “The POPI-model, a point-validated pixel-based breathing thorax model” In XVth international conference on the use of computers in radiation therapy (ICCR) 2, 2007, pp. 195–199 Citeseer
  24. “Sparse/low rank constrained reconstruction for dynamic PET imaging” In Plos one 10.11 Public Library of Science San Francisco, CA USA, 2015, pp. e0142019
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