@inproceedings{8cc99abb74d5448d8e5c5411237d327f,
title = "Assessment of atrioventricular valve regurgitation using biomechanical cardiac modeling",
abstract = "In this work we introduce the modeling of atrioventricular valve regurgitation in a spatially reduced order biomechanical heart model. The model can be fast calibrated using non-invasive data of cardiac magnetic resonance imaging and provides an objective measure of contractile properties of the myocardium in the volume overloaded ventricle, for which the real systolic function may be masked by the significant level of the atrioventricular valve regurgitation. After demonstrating such diagnostic capabilities, we show the potential of modeling to address some clinical questions concerning possible therapeutic interventions for specific patients. The fast running of the model allows targeting specific questions of referring clinicians in a clinically acceptable time.",
keywords = "Atrioventricular regurgitation, Cardiac modeling, Model-based diagnosis assistance, Reduced-order model, Therapy planning",
author = "R. Chabiniok and P. Moireau and C. Kiesewetter and T. Hussain and Reza Razavi and D. Chapelle",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 9th International Conference on Functional Imaging and Modelling of the Heart, FIMH 2017 ; Conference date: 11-06-2017 Through 13-06-2017",
year = "2017",
doi = "10.1007/978-3-319-59448-4_38",
language = "English (US)",
isbn = "9783319594477",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "401--411",
editor = "Mihaela Pop and Wright, {Graham A.}",
booktitle = "Functional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Proceedings",
}