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Multi-Scale Computational Model of Three-Dimensional Hemodynamics within a Deformable Full-Body Arterial Network.可变形全身动脉网络内三维血流动力学的多尺度计算模型
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The application of multiscale modelling to the process of development and prevention of stenosis in a stented coronary artery.多尺度建模在支架植入冠状动脉狭窄发展及预防过程中的应用。
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Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models.使用患者特异性计算血流动力学模型对脑动脉瘤进行表征以评估破裂风险
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Signed distance computation using the angle weighted pseudonormal.使用角度加权伪法线的符号距离计算。
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Computational modeling of arterial biomechanics: insights into pathogenesis and treatment of vascular disease.动脉生物力学的计算建模:对血管疾病发病机制和治疗的见解。
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人体脉管系统主要大动脉中血流动力学的大规模并行模拟。

Massively parallel simulations of hemodynamics in the primary large arteries of the human vasculature.

作者信息

Randles Amanda, Draeger Erik W, Bailey Peter E

机构信息

Lawrence Livermore National Laboratory, Livermore, CA, USA.

University of Arizona, Tucson, AZ, USA.

出版信息

J Comput Sci. 2015 Jul;9:70-75. doi: 10.1016/j.jocs.2015.04.003. Epub 2015 Apr 17.

DOI:10.1016/j.jocs.2015.04.003
PMID:29152011
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5693253/
Abstract

We present a computational model of three-dimensional and unsteady hemodynamics within the primary large arteries in the human on 1,572,864 cores of the IBM Blue Gene/Q. Models of large regions of the circulatory system are needed to study the impact of local factors on global hemodynamics and to inform next generation drug delivery mechanisms. The HARVEY code successfully addresses key challenges that can hinder effective solution of image-based hemodynamics on contemporary supercomputers, such as limited memory capacity and bandwidth, flexible load balancing, and scalability. This work is the first demonstration of large fluid dynamics simulations of the aortofemoral region of the circulatory system at resolutions as small as 10 μm.

摘要

我们在IBM蓝色基因/Q的1572864个核心上展示了人类主要大动脉内三维非定常血流动力学的计算模型。为了研究局部因素对整体血流动力学的影响并为下一代药物输送机制提供信息,需要循环系统大区域的模型。HARVEY代码成功解决了一些关键挑战,这些挑战可能会阻碍在当代超级计算机上有效求解基于图像的血流动力学问题,如内存容量和带宽有限、灵活的负载平衡以及可扩展性。这项工作首次展示了在低至10μm分辨率下对循环系统主动脉股区域进行的大型流体动力学模拟。