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arXiv Computer Vision By Reza Akbari Movahed, Abuzar Rezaee, Shatha Alamri, Edmond S. L. Ho, Fani Deligianni, Ali Gooya

CardioDrift: Automatic Cardiac Motion Tracking on a 3D Atlas Mesh via Shape-aware Coherent Point Drift with Slice Shift Correction

Read the original on arXiv Computer Vision →

CardioDrift is a fully automatic, atlas‑based framework that tracks cardiac motion on a 3D atlas mesh using a shape‑aware Coherent Point Drift algorithm. It jointly registers atlas surfaces of multiple cardiac regions to cine CMR segmentation contours across the cardiac cycle, while embedding slice‑shift correction to reduce misalignment artefacts. In evaluations on 1,301 UK Biobank subjects and the M&M dataset, CardioDrift achieved Dice similarity coefficients of 92.23 ± 8.70 % for the left ventricle, 82.11 ± 7.56 % for the myocardium, and 88.69 ± 4.13 % for the right ventricle, outperforming all baselines on every distance and overlap metric.

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