Automated adaptive cardiovascular flow simulations
Automated adaptive cardiovascular flow simulations
复制标题
自动自适应心血管血流模拟
DOI：
10.1007/s00366-008-0110-5
复制
发表时间：
2009
影响因子：
8.7
通讯作者：
M. Shephard
中科院分区：
文献类型：
--
作者：
O. Sahni;K. Jansen;Charles A. Taylor;M. Shephard
我们提出了一种自动自适应程序来执行心血管系统中的血流模拟。该程序允许用户从通过临床测量收集的受试者特定数据（例如磁共振成像（MRI）数据）开始，并以自动有效的方式评估感兴趣的生理参数，例如流量分布、压力变化、壁剪切应力。该过程涉及血管几何模型的构建、流动条件的规范以及自适应流动求解器的应用。后者基于使用自适应空间离散（网格划分）技术的不可压缩纳维-斯托克斯方程。在本文中，我们在正常受试者的人体腹主动脉模型上演示了该方法，该模型具有从 MRI 数据中吸收的几何形状和流速。获得的结果表明，边界层网格自适应性提供了更好的替代方案，可以实现更准确的预测，特别是对于壁剪切应力等关键生理量。
We present an automatic adaptive procedure to perform blood flow simulations in the cardiovascular system. The procedure allows the user to start with subject-specific data collected through clinical measurements, like magnetic resonance imaging (MRI) data, and evaluate physiological parameters of interest, like flow distribution, pressure variations, wall shear stress, in an automatic and efficient manner. The process involves construction of geometric models of blood vessels, specification of flow conditions and application of an adaptive flow solver. The latter is based on incompressible Navier–Stokes equations using adaptive spatial discretization (meshing) techniques. In this article, we demonstrate the method on a model of a human abdominal aorta of a normal subject with geometry and flow rates assimilated from MRI data. The results obtained show that boundary layer mesh adaptivity offers a better alternative leading to more accurate predictions, especially for key physiological quantities like wall shear stress.
DOI：
10.1152/ajpheart.01301.2005
发表时间：
2006-08-01
影响因子：
4.8
作者：
Tang, Beverly T.;Cheng, Christopher P.;Taylor, Charles A.
通讯作者：
Taylor, Charles A.