Abstract
After a myocardial infarction, electrophysiologists must assess the risk of the patient to develop a lethal arrhythmia. A cardiac magnetic resonance can help to evaluate the infarcted region, and provide insights into the electrically remodeled regions. However, it is not possible to evaluate the heart function or predict the behavior of slow conduction channels without an electrophysiology study. In this paper, we present a fully automatic screening approach based on fast simulation of cardiac electrophysiology, to determine arrhythmogeneity of myocardial infarction on patients. We show the accuracy and potential of the computer based approach, by comparing CathLab and simulation protocols to induce VT in 16 patients, obtaining a match between them.
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Serra, D. et al. (2024). Patient Stratification Based on Fast Simulation of Cardiac Electrophysiology on Digital Twins. In: Camara, O., et al. Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers. STACOM 2023. Lecture Notes in Computer Science, vol 14507. Springer, Cham. https://doi.org/10.1007/978-3-031-52448-6_4
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DOI: https://doi.org/10.1007/978-3-031-52448-6_4
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