首页> 外文会议>Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE >A Computational Model of Microcirculatory Network Structure and Transient Coronary Microcirculation
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A Computational Model of Microcirculatory Network Structure and Transient Coronary Microcirculation

机译:微循环网络结构和短暂性冠状微循环的计算模型

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Detailed existing studies on microvessels are combined within a biophysically-based modeling framework to construct a mathematical and computational model of the coronary microcirculation. Morphometric data of porcine coronary arteries, veins and capillaries are used to build a network structure of a capillary bed. The Poiseuille flow steady state equations are solved on the capillary model and coupled to a transient, finite difference flow model applied to the arteriole/venule networks. The coupling of the two schemes is achieved using a non-linear root-finding algorithm which seeks to satisfy the flow and pressure conditions at the interfacing vessels simultaneously. Convergence is achieved rapidly in a small-scale network. Empirical models of phase separation and Fahraeus-Lindqvist effect are incorporated to account for the non-Newtonian properties of blood in microvessels. Apparent blood viscosity is modeled as a function of vessel diameter and hematocrit (volume fraction taken up by red blood cells) and their solution is iterated at each time step of the finite difference scheme. The resulting algorithm is able to assess the transient flow occurring in a spatially-heterogeneous network while maintaining its computational efficiency and the biophysical basis.
机译:详细的关于微型肌肉的现有研究在基于生物物质的建模框架内组合,以构建冠状动脉微循环的数学和计算模型。猪冠状动脉,静脉和毛细血管的形态学数据用于构建毛细床的网络结构。 Poiseuille流量稳态方程在毛细管模型上求解并耦合到瞬态有限差分流量模型,其应用于动脉孔/ Venule网络。使用非线性根发现算法实现了两种方案的耦合,该算法试图同时满足接口容器处的流动和压力条件。收敛在小规模网络中迅速实现。分离和Fahraeus-lindqvist效果的经验模型被纳入,以考虑微血管中血液的非牛顿性质。表观血液粘度被建模为血管直径和血细胞比容(通过红细胞占用的体积分数),并在有限差分方案的每次步骤中迭代它们的溶液。所得到的算法能够评估空间异构网络中发生的瞬态流量,同时保持其计算效率和生物物理学。

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