Leuprecht Armin, Perktold Karl, Kozerke Sebastian, Boesiger Peter
Institute of Mathematics, Technical University Graz, Graz, Austria.
Biorheology. 2002;39(3-4):425-9.
Physiological correct modelling of blood flow through the human ascending aorta is done by combining computational fluid dynamics (CFD) and magnetic resonance imaging (MRI). This method provides a relatively new approach in the analysis and quantification of the haemodynamic variables. Velocity patterns and wall shear stress distributions occurring in the ascending aorta of an individual subject are examined. Geometrical data and inflow velocity profiles just downstream of the valve were acquired from MRI measurements. Based on the extraction of arterial cross-sections a computer model of the time-dependent geometrical vessel wall was generated. After surface creation the arterial lumen was filled with an appropriate 3D finite element mesh. The mathematical description of the blood flow uses the Navier-Stokes equations applying an Arbitrary Lagrangian-Eulerian modification with respect to the time-varying geometry with externally imposed boundary motion. The numerical approach uses our recently developed finite element solver. The computational results agree very well with the measured data.
通过结合计算流体动力学(CFD)和磁共振成像(MRI)来对人体升主动脉中的血流进行生理正确建模。这种方法为血流动力学变量的分析和量化提供了一种相对较新的途径。研究了个体受试者升主动脉中出现的速度模式和壁面剪应力分布。从MRI测量中获取瓣膜下游的几何数据和流入速度剖面。基于动脉横截面的提取,生成了随时间变化的几何血管壁的计算机模型。创建表面后,动脉腔用合适的三维有限元网格填充。血流的数学描述使用Navier-Stokes方程,并针对具有外部施加边界运动的时变几何形状应用任意拉格朗日-欧拉修正。数值方法使用我们最近开发的有限元求解器。计算结果与测量数据非常吻合。