A Green's function method for simulation of time-dependent solute transport and reaction in realistic microvascular geometries

Timothy W. Secomb
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引用次数: 23

Abstract

A novel theoretical method is presented for simulating the spatially resolved convective and diffusive transport of reacting solutes between microvascular networks and the surrounding tissues. The method allows for efficient computational solution of problems involving convection and non-linear binding of solutes in blood flowing through microvascular networks with realistic 3D geometries, coupled with transvascular exchange and diffusion and reaction in the surrounding tissue space. The method is based on a Green's function approach, in which the solute concentration distribution in the tissue is expressed as a sum of fields generated by time-varying distributions of discrete sources and sinks. As an example of the application of the method, the washout of an inert diffusible tracer substance from a tissue region perfused by a network of microvessels is simulated, showing its dependence on the solute's transvascular permeability and tissue diffusivity. Exponential decay of the washout concentration is predicted, with rate constants that are about 10-30% lower than the rate constants for a tissue cylinder model with the same vessel length, vessel surface area and blood flow rate per tissue volume.

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模拟微血管几何中随时间变化的溶质输运和反应的格林函数方法
提出了一种新的理论方法来模拟反应溶质在微血管网络和周围组织之间的空间分辨对流和扩散输运。该方法可以有效地计算解决血液中溶质的对流和非线性结合问题,这些问题包括通过微血管网络流动的溶质,具有真实的3D几何形状,以及周围组织空间的跨血管交换、扩散和反应。该方法基于格林函数方法,其中组织中的溶质浓度分布表示为由离散源和汇的时变分布产生的场的总和。作为该方法应用的一个例子,模拟了惰性扩散示踪物质从微血管网络灌注的组织区域的冲洗,显示了其依赖于溶质的跨血管渗透性和组织扩散性。预测水洗浓度呈指数衰减,其速率常数比具有相同血管长度、血管表面积和单位组织体积血流量的组织圆柱体模型的速率常数低约10-30%。
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