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Focus Session: Fluid Structure Interaction Study for Hemodynamic Evaluation of Transcatheter Aortic Valve Replacement Device using HPC
Clouds and Distributed Computing
Performance Analysis and Optimization
DescriptionTranscatheter aortic valve replacement (TAVR) is swiftly becoming a standard for high risk surgical patients with positive clinical results. Hence, efforts are being made to expand TAVR to low risk surgical patients. However, recent evidence of leaflet thrombosis and reduced leaflet mobility in TAVR devices has raised concerns of long-term valve durability. Risk factor of thrombosis in TAVR patients remain poorly defined, but data suggests that hemodynamics in the vicinity of the valve prosthesis is a critical factor in the development of leaflet thrombosis. In conjunction with experiments, FSI can greatly augment the knowledge gained for thrombus assessment related to artificial heart valves. It can be used for high-resolution evaluation of flow parameters (e.g. wall shear stress, detailed location of blood clot) which are otherwise difficult/impossible to measure in-vivo or in-vitro. These parameters can be used to optimize valve design while also allowing patient specific evaluation of TAVR devices. In case of a patient specific evaluation of TAVR devices, thrombus assessment would aid surgeons in pre-operative planning with respect to the choice of TAVR device and its placement in patient’s anatomy. But, such assessment can be computationally time consuming and exhaustive. High performance computing (HPC) would assist in significantly reducing the computation time. In this work, we test the capabilities of HPC for hemodynamics assessment using FSI method for a TAVR device in both ideal and patient specific environment.