AI RESEARCH
Physiology and Anatomy Aware Inverse Inference of Myocardial Infarction for Cardiac Digital Twin
arXiv CS.CV
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ArXi:2605.22044v1 Announce Type: new Accurate localization of myocardial infarction is essential for risk stratification. While LGE-MRI remains the gold standard, it is resource-intensive. Integrating cine MRI with ECG enables a detailed representation of infarct properties. Existing inverse MI inference methods overlook realistic scar morphology and cardiac repolarization, reducing sensitivity to subtle ECG variations and interpretability of infarct-induced electrophysiological changes. In this paper, we propose a novel framework for noninvasive MI localization using cardiac digital twins.