Using Position-Based Dynamics for Simulating the Mitral Valve in a Decision Support System

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dc.contributor.authorWalczak, Larsen_US
dc.contributor.authorGeorgii, Joachimen_US
dc.contributor.authorTautz, Lennarten_US
dc.contributor.authorNeugebauer, Mathiasen_US
dc.contributor.authorWamala, Isaacen_US
dc.contributor.authorSündermann, Simonen_US
dc.contributor.authorFalk, Volkmaren_US
dc.contributor.authorHennemuth, Anjaen_US
dc.contributor.editorKozlíková, Barbora and Linsen, Lars and Vázquez, Pere-Pau and Lawonn, Kai and Raidou, Renata Georgiaen_US
dc.date.accessioned2019-09-03T13:49:10Z
dc.date.available2019-09-03T13:49:10Z
dc.date.issued2019
dc.description.abstractIn mitral valve interventions, surgeons have to select an optimal combination of techniques for every patient. Especially less experienced physicians would benefit from decision support for this process. To support the visual analysis of the patientspecific valvular dynamics and an in-silico pre-intervention simulation of different therapy options, a real-time simulation of the mitral valve is needed, especially for the use in a time-constrained clinical environment. We develop a simplified model of the mitral valve and propose a novel approach to simulate the mitral valve with position-based dynamics. As input, a mesh representation of the open-state mitral valve, two polygons representing the open and closed annulus states, simplified chordae tendineae, and a set of forces for approximating the surrounding blood are required. The mitral valve model can be deformed to simulate the closing and opening as well as incorporate changes caused by virtual interventions in the simulation. For evaluation, ten mitral valves were reconstructed from transesophageal echocardiogram sequences of patients with normal and abnormal physiology. Experts in cardiac surgery annotated anatomical landmarks for valve reconstruction. The simulation results for closing the valve were qualitatively compared to the anatomy depicted in the image sequences and, if present, the reproduction of a prolapse was verified. In addition, two virtual interventions (annuloplasty and clipping) were performed for one case and provided new insights about changes in valve closure and orifice area after modification. Each simulation ran at interactive frame rates. Our approach enables an efficient simulation of the mitral valve with normal and abnormal valve closing behavior as well as virtual interventions. The simulation results showed good agreements with the image data in general and reproduced valve closure in all cases. In three cases, prolapse was not or not correctly reproduced. Further research is needed to parameterize the model in pathologic cases.en_US
dc.description.sectionheadersAnimation, Tracking, and Simulations
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20191242
dc.identifier.isbn978-3-03868-081-9
dc.identifier.issn2070-5786
dc.identifier.pages165-175
dc.identifier.urihttps://doi.org/10.2312/vcbm.20191242
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20191242
dc.publisherThe Eurographics Associationen_US
dc.subjectApplied computing
dc.subjectLife and medical sciences
dc.subjectHealth informatics
dc.titleUsing Position-Based Dynamics for Simulating the Mitral Valve in a Decision Support Systemen_US
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VCBM 19: Eurographics Workshop on Visual Computing for Biology and Medicine