Computational hemodynamics is being developed as an alternative approach for assisting clinical diagnosis and treatment planning for liver diseases. The technology is non-invasive, but the computational time could be high when the full geometry of the blood vessels is taken into account. Existing approaches use either one-dimensional model of the artery or simplified three-dimensional tubular geometry in order to reduce the computational time, but the accuracy is sometime compromised, for example, when simulating blood flows in arteries with plaque. In this work, we study a highly parallel method for the transient incompressible Navier–Stokes equations for the simulation of the blood flows in the full three-dimensional patient-specific hepatic artery, portal vein and hepatic vein. As applications, we also simulate the flow in a patient with hepatectomy and calculate the S (PPG). One of the advantages of simulating blood flows in all hepatic vessels is that it provides a direct estimate of the PPG, which is a gold standard value to assess the portal hypertension. Moreover, the robustness and scalability of the algorithm are also investigated. A 83% parallel efficiency is achieved for solving a problem with 7 million elements on a supercomputer with more than 1000 processor cores.

中文翻译：

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患者特异性肝血流的高度并行模拟

正在开发计算血流动力学作为辅助肝病临床诊断和治疗计划的替代方法。该技术是非侵入性的，但当考虑到血管的完整几何形状时，计算时间可能会很长。现有方法使用动脉的一维模型或简化的三维管状几何结构以减少计算时间，但有时精度会受到影响，例如，在模拟具有斑块的动脉中的血流时。在这项工作中，我们研究了瞬态不可压缩 Navier-Stokes 方程的高度并行方法，用于模拟全三维患者特定肝动脉、门静脉和肝静脉中的血流。作为应用程序，我们还模拟了肝切除术患者的血流并计算了 S (PPG)。模拟所有肝血管中的血流的优势之一是它提供了 PPG 的直接估计，这是评估门静脉高压的金标准值。此外，还研究了算法的鲁棒性和可扩展性。一个 83在具有 1000 多个处理器内核的超级计算机上解决具有 700 万个元素的问题时，可实现% 的并行效率。