Atherosclerotic Plaque Rupture Prediction: Imaging-Based Computational Simulation and Multiphysical Modelling

Q4 Biochemistry, Genetics and Molecular Biology

Molecular & Cellular Biomechanics Pub Date : 2019-02-21 DOI:10.32604/mcb.2019.06308

Zhiyong Li

引用次数: 1

Abstract

In this article, we summarize our previous work in imaging-based computational modelling and simulation of the interaction between blood flow and atherosclerotic plaque. We also discussed our recent developments in multiphysical modelling of plaque progression and destabilization. Significance and translation of the modelling study to clinical practice are discussed in order to better assess plaque vulnerability and accurately predict a possible rupture.

查看原文本刊更多论文

动脉粥样硬化斑块破裂预测:基于成像的计算模拟和多物理模型

在本文中，我们总结了我们以前在基于成像的计算模型和血流与动脉粥样硬化斑块之间相互作用的模拟方面的工作。我们还讨论了我们在斑块进展和不稳定的多物理模型方面的最新进展。为了更好地评估斑块易感性和准确预测可能的破裂，本文讨论了模型研究在临床实践中的意义和转化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Molecular & Cellular Biomechanics CELL BIOLOGYENGINEERING, BIOMEDICAL&-ENGINEERING, BIOMEDICAL

CiteScore

1.70

自引率

0.00%

发文量

期刊介绍： The field of biomechanics concerns with motion, deformation, and forces in biological systems. With the explosive progress in molecular biology, genomic engineering, bioimaging, and nanotechnology, there will be an ever-increasing generation of knowledge and information concerning the mechanobiology of genes, proteins, cells, tissues, and organs. Such information will bring new diagnostic tools, new therapeutic approaches, and new knowledge on ourselves and our interactions with our environment. It becomes apparent that biomechanics focusing on molecules, cells as well as tissues and organs is an important aspect of modern biomedical sciences. The aims of this journal are to facilitate the studies of the mechanics of biomolecules (including proteins, genes, cytoskeletons, etc.), cells (and their interactions with extracellular matrix), tissues and organs, the development of relevant advanced mathematical methods, and the discovery of biological secrets. As science concerns only with relative truth, we seek ideas that are state-of-the-art, which may be controversial, but stimulate and promote new ideas, new techniques, and new applications.