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ABSTRACT
Atherosclerotic Plaque Rupture Prediction: Imaging-Based Computational Simulation and Multiphysical Modelling
1 School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
2 School of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology (QUT), Brisbane, QLD, Australia.
* Corresponding author: Zhiyong Li. Email: zylicam@gmail.com.
Molecular & Cellular Biomechanics 2019, 16(Suppl.1), 29-30. https://doi.org/10.32604/mcb.2019.06308
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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.Keywords
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APA Style
Li, Z. (2019). Atherosclerotic plaque rupture prediction: imaging-based computational simulation and multiphysical modelling . Molecular & Cellular Biomechanics, 16(Suppl.1), 29-30. https://doi.org/10.32604/mcb.2019.06308
Vancouver Style
Li Z. Atherosclerotic plaque rupture prediction: imaging-based computational simulation and multiphysical modelling . Mol Cellular Biomechanics . 2019;16(Suppl.1):29-30 https://doi.org/10.32604/mcb.2019.06308
IEEE Style
Z. Li, “Atherosclerotic Plaque Rupture Prediction: Imaging-Based Computational Simulation and Multiphysical Modelling ,” Mol. Cellular Biomechanics , vol. 16, no. Suppl.1, pp. 29-30, 2019. https://doi.org/10.32604/mcb.2019.06308
Copyright © 2019 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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