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

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

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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 ex vivo 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.

Original languageEnglish
Article number733009
Number of pages12
JournalFrontiers in Physiology
Volume12
DOIs
Publication statusPublished - 2021

Keywords

  • atherosclerosis
  • Bayesian optimization
  • coronary artery
  • finite element analysis
  • inflation test
  • material constant
  • ultrasound
  • Yeoh model

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