Cardiac Magnetic Resonance 2D+T Short- and Long-axis Segmentation via Spatio-temporal SAM Adaptation

arXiv:2403.10009v1 Announce Type: cross
Abstract: Accurate 2D+T myocardium segmentation in cine cardiac magnetic resonance (CMR) scans is essential to analyze LV motion throughout the cardiac cycle comprehensively. The Segment Anything Model (SAM), known for its accurate segmentation and zero-shot generalization, has not yet been tailored for CMR 2D+T segmentation. We therefore introduce CMR2D+T-SAM, a novel approach to adapt SAM for CMR 2D+T segmentation using spatio-temporal adaption. This approach also incorporates a U-Net framework for multi-scale feature extraction, as well as …

abstract analyze arxiv cs.cv eess.iv sam scans segment segment anything segment anything model segmentation temporal type via zero-shot