Separate cardiac phase variation from anatomical variation

Determine how much of the variation captured by the eleven-structure cardiac CT statistical shape model is attributable to cardiac phase rather than inter-subject anatomy, and characterize completion performance for cross-phase conditioning such as predicting an end-systolic atrium from an end-diastolic ventricle.

Background

The cohorts contain static, predominantly ungated CT scans without reliable cardiac-phase information. Consequently, the fitted shape distribution combines anatomical differences with unknown within-cycle motion, while the reported correlations are consistent with size-driven variation but do not identify its cause.

The paper does not evaluate cross-phase completion, in which observed and predicted structures correspond to different cardiac phases. Establishing phase-aware models or phase-conditioned completion would be necessary to determine whether the released model can support such use.

References

Phase and anatomy are not identifiable from one static scan per subject, so we do not decompose them; two model-side observations bound the concern.

A Strong Linear Baseline for Whole-Heart Cardiac Shape Completion on CT, with an Open Eleven-Structure Statistical Shape Model  (2608.19932 - Gazda et al., 20 Aug 2026) in Discussion, Section 'Limitations' (following Section 'Downstream Measurement, Robustness, and Uncertainty')