Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; Shenzhen Key Laboratory for Exascale Engineering and Scientific Computing, Shenzhen, China.
Comput Biol Med. 2021 Sep;136:104652. doi: 10.1016/j.compbiomed.2021.104652. Epub 2021 Jul 24.
Surgical planning for aortic aneurysm repair is a difficult task. In addition to the morphological features obtained from medical imaging, alternative features obtained with computational modeling may provide additional useful information. Though numerical studies are noninvasive, they are often time-consuming, especially when we need to study and compare multiple repair scenarios, because of the high computational complexity. In this paper, we present a highly parallel algorithm for the numerical simulation of unsteady blood flows in the patient-specific abdominal aorta before and after the aneurysmic repair. We model the blood flow with the unsteady incompressible Navier-Stokes equations with different outlet boundary conditions, and solve the discretized system with a highly scalable domain decomposition method. With this approach, a high resolution simulation of a full-size adult aorta can be obtained in less than an hour, instead of days with older methods and software. In addition, we show that the parallel efficiency of the proposed method is near 70% on a parallel computer with 2, 880 processor cores.
主动脉瘤修复的手术规划是一项艰巨的任务。除了从医学影像中获得的形态特征外,通过计算建模获得的替代特征可能提供额外的有用信息。尽管数值研究是无创的,但它们往往很耗时,尤其是当我们需要研究和比较多种修复方案时,因为计算复杂度很高。在本文中,我们提出了一种用于在患者特定的腹主动脉瘤修复前后进行非定常血流数值模拟的高度并行算法。我们使用不同的出口边界条件来模拟血流,并用高度可扩展的区域分解方法来求解离散化系统。通过这种方法,不到一个小时就可以得到全尺寸成人主动脉的高分辨率模拟,而不是使用旧方法和软件需要数天的时间。此外,我们还表明,在具有 2880 个处理器核的并行计算机上,所提出方法的并行效率接近 70%。