Literature DB >> 31280898

Investigation of left heart flow using a numerical correlation to model heart wall motion.

Reza Samian1, Maysam Saidi2.   

Abstract

A three-dimensional computational fluid dynamics (CFD) method has been developed to model the flow in the left heart including atrium and ventricle. Since time resolution of the medical scans does not fit the requirements of the CFD calculations, the main challenge in a numerical simulation of heart chambers is wall motion modeling. This study employs a novel three-dimensional approximation scheme to correlate the wall boundary and grid movement in systole and diastole. It uses a geometry extracted from medical images in the literature and deformed based on the reported flow rates. The opening and closing of the mitral (MV) and the aortic valve (AV) considered as simultaneous events. Unstructured tetragonal grids were used for the meshing of the domain. The calculation was performed by a Navier-Stokes solver using the arbitrary Lagrange-Euler (ALE) formulation. Results show that the proposed correlation for the wall motion could predict the main features of heart flows.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CFD; Correlation; Dynamic mesh; Heart; Large eddy simulation; Wall movement

Mesh:

Year:  2019        PMID: 31280898     DOI: 10.1016/j.jbiomech.2019.06.008

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  2 in total

1.  Computational Assessment of Valvular Dysfunction in Discrete Subaortic Stenosis: A Parametric Study.

Authors:  Jason A Shar; Sundeep G Keswani; K Jane Grande-Allen; Philippe Sucosky
Journal:  Cardiovasc Eng Technol       Date:  2021-01-11       Impact factor: 2.305

2.  Simulation of Cardiac Flow under the Septal Defect Based on Lattice Boltzmann Method.

Authors:  Zhengdao Wang; Xiandong Zhang; Yumeng Li; Hui Yang; Haihong Xue; Yikun Wei; Yuehong Qian
Journal:  Entropy (Basel)       Date:  2022-01-27       Impact factor: 2.524

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.