In this work we introduce the modeling of atrioventricu- lar valve regurgitation in a spatially reduced order biomechanical heart model. The model can be fast calibrated using non-invasive data of car- diac magnetic resonance imaging and provides an objective measure of contractile properties of the myocardium in the volume overloaded ven- tricle, for which the real systolic function may be masked by the signifi- cant 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.
|Title of host publication
|Functional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Proceedings
|Subtitle of host publication
|Number of pages
|Published - 23 May 2017
|Lecture Notes in Computer Science