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动脉粥样硬化人类冠状动脉的多组分力学特性:一种实验与计算相结合的混合方法

Multicomponent Mechanical Characterization of Atherosclerotic Human Coronary Arteries: An Experimental and Computational Hybrid Approach.

作者信息

Guvenir Torun Su, Torun Hakki M, Hansen Hendrik H G, Gandini Giulia, Berselli Irene, Codazzi Veronica, de Korte Chris L, van der Steen Antonius F W, Migliavacca Francesco, Chiastra Claudio, Akyildiz Ali C

机构信息

Department of Biomedical Engineering, Erasmus Medical Center, Rotterdam, Netherlands.

School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States.

出版信息

Front Physiol. 2021 Sep 7;12:733009. doi: 10.3389/fphys.2021.733009. eCollection 2021.

DOI:10.3389/fphys.2021.733009
PMID:34557112
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8452922/
Abstract

Atherosclerotic plaque rupture in coronary arteries, an important trigger of myocardial infarction, is shown to correlate with high levels of pressure-induced mechanical stresses in plaques. Finite element (FE) analyses are commonly used for plaque stress assessment. However, the required information of heterogenous material properties of atherosclerotic coronaries remains to be scarce. In this work, we characterized the component-wise mechanical properties of atherosclerotic human coronary arteries. To achieve this, we performed inflation tests on post-mortem human coronary arteries and developed an inverse FE modeling (iFEM) pipeline, which combined high-frequency ultrasound deformation measurements, a high-field magnetic resonance-based artery composition characterization, and a machine learning-based Bayesian optimization (BO) with uniqueness assessment. By using the developed pipeline, 10 cross-sections from five atherosclerotic human coronary arteries were analyzed, and the Yeoh material model constants of the fibrous intima and arterial wall components were determined. This work outlines the developed pipeline and provides the knowledge of non-linear, multicomponent mechanical properties of atherosclerotic human coronary arteries.

摘要

冠状动脉粥样硬化斑块破裂是心肌梗死的重要触发因素,研究表明其与斑块中高水平的压力诱导机械应力相关。有限元(FE)分析通常用于斑块应力评估。然而,关于动脉粥样硬化冠状动脉异质材料特性所需的信息仍然稀缺。在这项工作中,我们对动脉粥样硬化的人类冠状动脉的各成分力学特性进行了表征。为实现这一目标,我们对死后的人类冠状动脉进行了膨胀测试,并开发了一种逆有限元建模(iFEM)流程,该流程结合了高频超声变形测量、基于高场磁共振的动脉成分表征以及基于机器学习的贝叶斯优化(BO)和唯一性评估。通过使用所开发的流程,对来自五条动脉粥样硬化人类冠状动脉的10个横截面进行了分析,并确定了纤维内膜和动脉壁成分的Yeoh材料模型常数。这项工作概述了所开发的流程,并提供了动脉粥样硬化人类冠状动脉的非线性、多成分力学特性的知识。

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