In silico modeling for personalized stenting in aortic coarctation
نویسندگان
چکیده
Stent intervention is a recommended therapy to reduce the pressure gradient and restore blood flow for patients with coarctation of aorta (CoA). In this work, we developed framework personalized stent in CoA using silico modeling, combining computational fluid dynamics (CFD) image-based prediction geometry after intervention. Firstly, aorta, whose was reconstructed from magnetic resonance imaging (MRI) data, numerically modeled lattice Boltzmann method (LBM). Both large eddy simulation (LES) direct numerical (DNS) were considered adequately resolve turbulent hemodynamics, boundary conditions extracted phase-contrast MRI. By comparing results CFD 4D-Flow MRI 3D-printed phantoms, concluded that LBM based LES capable obtaining accurate aortic acceptable cost. implantation patient then performed by predicting deformed flow. evaluating drop maximum wall shear stress, an optimal can be selected.
منابع مشابه
Results of stenting for aortic coarctation.
E stents have been widely used in peripheral and coronary arteries, postsurgical stenosis of the pulmonary arteries, and in the superior vena cava and conduits in congenital heart diseases.1–8 Several reports support the use of balloon-expandable stents for aortic coarctation (AC) in humans.9–13 This study reports the results obtained with stent implantation in young and adult patients with AC....
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ژورنال
عنوان ژورنال: Engineering Applications of Computational Fluid Mechanics
سال: 2022
ISSN: ['1997-003X', '1994-2060']
DOI: https://doi.org/10.1080/19942060.2022.2127912