MATHMOD 2022 Discussion Contributions

Physics-informed Neural Networks for parameter estimation in cardiac mechanics

ARGESIM Report 17 (ISBN 978-3-901608-95-7), p 61-62, DOI: 10.11128/arep.17.a17143

Abstract

Medical imaging represents a relevant tool for diagnosing heart diseases. Different techniques are available, such as echocardiography, magnetic resonance imaging, computed tomography scans, and nuclear medicine. These are associated with an increasing space-time resolution, which may capture crucial details for the clinical decision-making process.