Spiegel Martin, Redel Thomas, Zhang Y, Struffert Tobias, Hornegger Joachim, Grossman Robert G, Doerfler Arnd, Karmonik Christof
Friedrich-Alexander University Erlangen-Nuremberg (FAU), Department of Computer Science, Germany.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2787-90. doi: 10.1109/IEMBS.2009.5333829.
Computational fluid dynamic (CFD) based on patient-specific medical imaging data has found widespread use for visualizing and quantifying hemodynamics in cerebrovascular disease such as cerebral aneurysms or stenotic vessels. This paper focuses on optimizing mesh parameters for CFD simulation of cerebral aneurysms. Valid blood flow simulations strongly depend on the mesh quality. Meshes with a coarse spatial resolution may lead to an inaccurate flow pattern. Meshes with a large number of elements will result in unnecessarily high computation time which is undesirable should CFD be used for planning in the interventional setting. Most CFD simulations reported for these vascular pathologies have used tetrahedral meshes. We illustrate the use of polyhedral volume elements in comparison to tetrahedral meshing on two different geometries, a sidewall aneurysm of the internal carotid artery and a basilar bifurcation aneurysm. The spatial mesh resolution ranges between 5,119 and 228,118 volume elements. The evaluation of the different meshes was based on the wall shear stress previously identified as a one possible parameter for assessing aneurysm growth. Polyhedral meshes showed better accuracy, lower memory demand, shorter computational speed and faster convergence behavior (on average 369 iterations less).
基于患者特定医学影像数据的计算流体动力学(CFD)已广泛用于可视化和量化脑血管疾病(如脑动脉瘤或狭窄血管)中的血流动力学。本文重点关注优化脑动脉瘤CFD模拟的网格参数。有效的血流模拟很大程度上取决于网格质量。空间分辨率粗糙的网格可能会导致流型不准确。元素数量众多的网格将导致不必要的高计算时间,而在介入治疗中使用CFD进行规划时,这是不可取的。针对这些血管病变报道的大多数CFD模拟都使用了四面体网格。我们在两种不同的几何形状上说明了多面体体积元素与四面体网格划分相比的使用情况,即颈内动脉侧壁动脉瘤和基底动脉分叉动脉瘤。空间网格分辨率在5119至228118个体积元素之间。对不同网格的评估基于先前确定为评估动脉瘤生长的一个可能参数的壁面剪应力。多面体网格显示出更高的精度、更低的内存需求、更快的计算速度和更快的收敛行为(平均少369次迭代)。