颅内动脉瘤血流的并行模拟与可视化

Wolfgang Fenz, J. Dirnberger, C. Watzl, M. Krieger
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引用次数: 2

摘要

我们的目标是开发一种物理上正确的模拟颅内动脉瘤血流的方法。通过计算颅内动脉瘤内压力和剪应力的分布,提供估计破裂风险的手段,以支持临床干预计划。由于应用程序的时间关键性质,我们被迫使用最有效的最先进的数值方法和技术以及高性能计算(HPC)基础设施。采用有限元法对血流的Navier-Stokes方程进行离散化,得到的线性方程组由代数多网格求解器处理。首先将我们的模拟结果与商业CFD(计算流体动力学)软件进行比较,已经显示出良好的医学诊断决策支持相关性。另一个挑战是在可接受的交互响应率下可视化我们的模拟结果。医生需要快速和高度互动的速度、压力和应力可视化,以便能够评估单个血管形态的破裂风险。为了满足这些需求,需要利用并行可视化技术和高性能计算资源。为了使医生能够访问并非每家医院都提供的远程高性能计算资源,利用奥地利网格的计算基础设施进行模拟和可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel simulation and visualization of blood flow in intracranial aneurysms
Our aim is to develop a physically correct simulation of blood flow through intracranial aneurysms. It shall provide means to estimate rupture risks by calculating the distribution of pressure and shear stresses in an intracranial aneurysm, in order to support the planning of clinical interventions. Due to the time-critical nature of the application, we are forced to use the most efficient state-of-the-art numerical methods and technologies together with high performance computing (HPC) infrastructures. The Navier-Stokes equations for the blood flow are discretized via the finite element method (FEM), and the resulting linear equation systems are handled by an algebraic multigrid (AMG) solver. First comparisons of our simulation results with commercial CFD (computational fluid dynamics) software already show good medical relevance for diagnostic decision support. Another challenge is the visualization of our simulation results at acceptable interaction response rates. Physicians require quick and highly interactive visualization of velocity, pressure and stress to be able to assess the rupture risk of an individual vessel morphology. To meet these demands, parallel visualization techniques and high performance computing resources are utilized. In order to provide physicians with access to remote HPC resources which are not available at every hospital, computing infrastructure of the Austrian Grid is utilized for simulation and visualization.
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