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BP: Fachverband Biologische Physik
BP 19: Poster VII
BP 19.4: Poster
Dienstag, 17. März 2020, 14:00–16:00, P2/3OG
Personalized numerical modeling for stent implantation in the aorta — •Dandan Ma1,3, Yong Wang2,3, Michael Steinmetz1, and Martin Uecker1,3 — 1University Medical Center Göttingen, 37075 Göttingen, Germany — 2MPI for Dynamics and Self-Organization, 37077 Göttingen, Germany — 3German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany
The coarctation of the aorta (CoA) accounts for 7% of all congenital heart defects. Stent implanted is a recommended therapy to reduce the pressure gradient and restore blood flow. Computational fluid dynamic (CFD) can provide valuable insight for flows in a patient-specific model, and thereby predict therapy outcome. In this study, the flow within an aorta, reconstructed from magnitude resonance imaging (MRI) data, was numerically modeled firstly, using lattice Boltzmann method. Both large eddy simulation (LES) and direct numerical simulation (DNS) were adopted to resolve the turbulent blood flow, with boundary condition extracted from phase-contrast MRI (PC-MRI) measurement. Numerical results such as flow velocity, pressure drop and wall shear stress (WSS) were obtained. By comparing the results from LES, DNS and PC-MRI, we conclude that the LES is capable of obtaining accurate aortic flow within acceptable simulation time. In silico stent implantation for a child with CoA was then performed, by predicting the deformed geometry after implantation and modeling the flow therein with LES. It is shown from the numerical results that both pressure drop and maximum WSS are reduced. Such methodology will be used to optimize patient-specific therapy.