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为现实的血管系统建立三维多尺度血流和传热框架模型。

Modeling a 3-D multiscale blood-flow and heat-transfer framework for realistic vascular systems.

机构信息

Institute for Environmental Research, Kansas State University, Manhattan, KS, USA.

Alan Levin Department of Mechanical and Nuclear Engineering, Kansas State University, Manhattan, KS, USA.

出版信息

Sci Rep. 2022 Aug 26;12(1):14610. doi: 10.1038/s41598-022-18831-3.

DOI:10.1038/s41598-022-18831-3
PMID:36028657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9418225/
Abstract

Modeling of biological domains and simulation of biophysical processes occurring in them can help inform medical procedures. However, when considering complex domains such as large regions of the human body, the complexities of blood vessel branching and variation of blood vessel dimensions present a major modeling challenge. Here, we present a Voxelized Multi-Physics Simulation (VoM-PhyS) framework to simulate coupled heat transfer and fluid flow using a multi-scale voxel mesh on a biological domain obtained. In this framework, flow in larger blood vessels is modeled using the Hagen-Poiseuille equation for a one-dimensional flow coupled with a three-dimensional two-compartment porous media model for capillary circulation in tissue. The Dirac distribution function is used as Sphere of Influence (SoI) parameter to couple the one-dimensional and three-dimensional flow. This blood flow system is coupled with a heat transfer solver to provide a complete thermo-physiological simulation. The framework is demonstrated on a frog tongue and further analysis is conducted to study the effect of convective heat exchange between blood vessels and tissue, and the effect of SoI on simulation results.

摘要

对生物领域进行建模并模拟其中发生的生物物理过程,可以帮助我们了解医疗程序。然而,当考虑到人体等复杂区域时,血管分支的复杂性和血管尺寸的变化给建模带来了重大挑战。在这里,我们提出了一个基于体素的多物理模拟(VoM-PhyS)框架,该框架使用从生物区域获得的多尺度体素网格来模拟耦合的传热和流体流动。在这个框架中,使用一维流的哈根-泊肃叶方程和组织中毛细血管循环的三维两腔多孔介质模型来模拟较大血管中的流动。狄拉克分布函数用作影响域(SoI)参数来耦合一维和三维流动。该血流系统与传热求解器耦合,以提供完整的热生理模拟。该框架在青蛙舌头上进行了演示,并进一步进行了分析,以研究血管和组织之间的对流传热的影响,以及 SoI 对模拟结果的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/a5961862130f/41598_2022_18831_Fig11_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/776843d3431f/41598_2022_18831_Fig7_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/a5961862130f/41598_2022_18831_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/1741ec515976/41598_2022_18831_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/d5600188ec78/41598_2022_18831_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/39edcaef4268/41598_2022_18831_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/5f7b1a2ad462/41598_2022_18831_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/215a98757b6e/41598_2022_18831_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/918faf7d4443/41598_2022_18831_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/776843d3431f/41598_2022_18831_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/946f4bb83abc/41598_2022_18831_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/7081ddf0924e/41598_2022_18831_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/11055de8d8ae/41598_2022_18831_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e1/9418225/a5961862130f/41598_2022_18831_Fig11_HTML.jpg

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