A geometry-motion embedded neural network reconstructs 3D myocardial infarct shapes from multi-view cine MRIs, reporting Dice 0.678 and electrophysiological simulation consistency with LGE ground truth on 225 cases.
arXiv preprint arXiv:2602.11942 , year=
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Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI for Cardiac Digital Twins
A geometry-motion embedded neural network reconstructs 3D myocardial infarct shapes from multi-view cine MRIs, reporting Dice 0.678 and electrophysiological simulation consistency with LGE ground truth on 225 cases.