Vascular graph model to simulate the cerebral blood flow in realistic vascular networks
Vascular graph model to simulate the cerebral blood flow in realistic vascular networks
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DOI：
10.1038/jcbfm.2009.58
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发表时间：
2009-08-01
影响因子：
6.3
通讯作者：
Weber, Bruno
中科院分区：
文献类型：
--
作者：
Reichold, Johannes;Stampanoni, Marco;Weber, Bruno
在其最基本的水平上，脑血流（CBF）可以被建模为通过压力梯度驱动通过电阻器网络的流体流。血液的成分以及血管的横截面积和长度是其流动阻力的主要决定因素。在这里，我们介绍了一个血管图建模框架，根据这些原则，可以计算血压，流量和标量传输在现实的血管网络。通过将网络嵌入代表脑组织的计算网格中，可以以真正的三维方式捕获两个隔室之间的相互作用，并且可以应用于模拟从血管中提取氧气等。此外，我们已经设计了一个放大算法，显着降低了计算费用，并消除了对毛细管床的拓扑结构的详细知识的需要。血管图框架已被应用于研究局部血管扩张和闭塞对周围网络中的流量的影响。脑血流与代谢杂志（2009）29，1429-1443; doi：10.1038/jcbfm。2009.58; 2009年5月13日在线发布
At its most fundamental level, cerebral blood flow (CBF) may be modeled as fluid flow driven through a network of resistors by pressure gradients. The composition of the blood as well as the cross-sectional area and length of a vessel are the major determinants of its resistance to flow. Here, we introduce a vascular graph modeling framework based on these principles that can compute blood pressure, flow and scalar transport in realistic vascular networks. By embedding the network in a computational grid representative of brain tissue, the interaction between the two compartments can be captured in a truly three-dimensional manner and may be applied, among others, to simulate oxygen extraction from the vessels. Moreover, we have devised an upscaling algorithm that significantly reduces the computational expense and eliminates the need for detailed knowledge on the topology of the capillary bed. The vascular graph framework has been applied to investigate the effect of local vascular dilation and occlusion on the flow in the surrounding network. Journal of Cerebral Blood Flow & Metabolism (2009) 29, 1429-1443; doi: 10.1038/jcbfm. 2009.58; published online 13 May 2009