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STEADY-STATE ANALYSIS FOR OXYGEN DIFFUSION IN INFARCTED MYOCARDIAL TISSUE

机译:心肌组织中氧扩散的稳态分析

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Myocardial infarction (MI), commonly known as a heart attack, can cause restriction in blood supply and oxygen shortage. The current stem cell therapy aims to rebuild lost myocardial tissue including its vasculature after MI. However, it should be determined how many vessels myocardial fibers need and how these vessels should be distributed to deliver enough oxygen to maintain their normal function. Mathematical modeling is a good approach to systematically determine the number and distributions of vessels that are needed. In this study, we employ Boundary Element Method combined with Fast Multipole Algorithm to predict the level of hypoxia after MI. Morphology of cardiac tissue based on available morphometric images is used for simulation. Steady state solutions for oxygen level distribution in both normal and infarcted heart are achieved. The numerical studies show that the developed FMBEM can effectively handle the diffusion process in the real world.
机译:心肌梗塞(MI),通常称为心脏病发作,可导致血液供应受限和氧气不足。当前的干细胞疗法旨在重建心肌梗死后丢失的心肌组织,包括其脉管系统。但是,应确定需要多少血管心肌纤维以及应如何分配这些血管以输送足够的氧气以维持其正常功能。数学建模是一种系统地确定所需船只的数量和分布的好方法。在这项研究中,我们采用边界元方法结合快速多极算法来预测心肌梗死后的缺氧水平。基于可用形态图像的心脏组织的形态用于仿真。实现了正常和梗塞心脏中氧水平分布的稳态解决方案。数值研究表明,所开发的FMBEM可以有效地处理现实世界中的扩散过程。

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