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随机网络中血管直径和长度离散化的影响。I. 微循环血流建模

Effect of dispersion of vessel diameters and lengths in stochastic networks. I. Modeling of microcirculatory flow.

作者信息

Dawant B, Levin M, Popel A S

出版信息

Microvasc Res. 1986 Mar;31(2):203-22. doi: 10.1016/0026-2862(86)90035-x.

Abstract

A microvascular network model is proposed with random arrangement and random dimensions of vessels. In addition to stochasticity of the topological characteristics of the model networks, as previously introduced by Fenton and Zweifach (1981, Ann. Biomed. Eng., 9, 303-321), the vessel diameters and lengths are treated as random variables following certain probability distributions for each vascular order. Flow and pressure distributions are calculated for each network configuration assuming a linear relationship between the blood flow rate and pressure drop for each vascular segment. The mean, coefficient of variation, skewness, kurtosis, and histograms of the hemodynamic variables are computed using an ensemble of random networks. The results indicate that dispersion of vessel diameters and lengths may significantly affect the distributions of microvascular variables such as capillary flow and pressure, and the flow distribution at bifurcations. It is shown that the dispersion of vessel diameters causes a decrease of total flow whereas the dispersion of lengths causes its increase.

摘要

提出了一种血管随机排列且尺寸随机的微血管网络模型。除了模型网络拓扑特征的随机性(如Fenton和Zweifach在1981年所介绍的,《生物医学工程年鉴》,第9卷,303 - 321页)外,血管直径和长度被视为遵循每种血管等级特定概率分布的随机变量。对于每个网络构型,假设每个血管段的血流速率与压降之间存在线性关系,计算流量和压力分布。使用一组随机网络计算血流动力学变量的均值、变异系数、偏度、峰度和直方图。结果表明,血管直径和长度的离散度可能会显著影响微血管变量的分布,如毛细血管流量和压力,以及分支处的流量分布。结果表明,血管直径的离散度会导致总流量减少,而长度的离散度会导致总流量增加。

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