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患者特定腹部主动脉及其主要器官内血流的数值模拟。

Numerical Simulation of Blood Flows in Patient-specific Abdominal Aorta with Primary Organs.

机构信息

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Shenzhen Key Laboratory for Exascale Engineering and Scientific Computing, Shenzhen, China.

出版信息

Biomech Model Mechanobiol. 2021 Jun;20(3):909-924. doi: 10.1007/s10237-021-01419-7. Epub 2021 Feb 13.

Abstract

The abdominal aorta is the largest artery in the abdominal cavity that supplies blood flows to vital organs through the complex visceral arterial branches, including the celiac trunk (the liver, stomach, spleen, etc.), the renal arteries (the kidneys) and the superior and inferior mesenteric arteries (the small and large intestine, pancreas, etc.). An accurate simulation of blood flows in this network of arteries is important for the understanding of the hemodynamics in various organs of healthy and diseased patients, but the computational cost is very high. As a result, most researchers choose to focus on a portion of the artery or use a low-dimensional approximation of the artery. In the present work, we introduce a parallel algorithm for the modeling of pulsatile flows in the abdominal aorta with branches to the primary organs, and an organ-based two-level method for calculating the resistances for the outflow boundary conditions. With this highly parallel approach, the simulation of the blood flow for a cardiac cycle of the anatomically detailed aorta can be obtained within a few hours, and the blood distribution to organs including liver, spleen and kidneys are also computed with certain accuracy. Moreover, we discuss the significant hemodynamic differences resulted from the influence of the peripheral branches. In addition, we examine the accuracy of the results with respect to the mesh size and time-step size and show the high parallel scalability of the proposed algorithm with up to 3000 processor cores.

摘要

腹主动脉是腹腔内最大的动脉,通过复杂的内脏动脉分支为重要器官提供血流,包括腹腔干(肝、胃、脾等)、肾动脉(肾)和肠系膜上动脉和下动脉(小肠、大肠、胰腺等)。准确模拟这些动脉网络中的血流对于理解健康和患病患者的器官血液动力学非常重要,但计算成本非常高。因此,大多数研究人员选择关注动脉的一部分或使用动脉的低维近似。在本工作中,我们引入了一种用于模拟具有主要器官分支的腹主动脉脉动流的并行算法,以及一种基于器官的两级方法来计算流出边界条件的阻力。通过这种高度并行的方法,可以在几个小时内获得解剖详细的主动脉的一个心动周期的血流模拟,并且还可以计算包括肝、脾和肾在内的器官的血液分布。此外,我们讨论了外周分支影响导致的显著血液动力学差异。此外,我们还研究了结果与网格大小和时间步长大小的准确性,并展示了所提出算法高达 3000 个处理器核的高并行可扩展性。

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