Image-based simulation of brain arteriovenous malformation hemodynamics

P. Orlowski, J. Noble, Y. Ventikos, J. Byrne, P. Summers
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引用次数: 4

Abstract

A novel image-based patient-specific simulation method has been developed incorporating computational fluid dynamics (CFD) and porous media principles which presents, for the first time, patient-specific blood flow through an arteriovenous malformation of the brain (BAVM). The new approach constructs an image-based geometric model of a malformation where the BAVM nidus is modelled as a porous medium. The method has been applied to a brain BAVM case with two feeding and four draining vessels. A qualitative comparison of the simulation results with blood flow imaging data shows the promise of the approach and suggests that the method may find application in planning for BAVM treatment.
基于图像的脑动静脉畸形血流动力学模拟
结合计算流体动力学(CFD)和多孔介质原理,开发了一种新的基于图像的患者特异性模拟方法,首次展示了通过脑动静脉畸形(BAVM)的患者特异性血液流动。新方法构建了一个基于图像的畸形几何模型,其中BAVM中心被建模为多孔介质。该方法已应用于2条进、4条引流血管的脑脊髓损伤病例。仿真结果与血流成像数据的定性比较显示了该方法的前景,并表明该方法可能在BAVM治疗计划中得到应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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