Quantifying Effects of Plaque Structure and Material Properties on Stress Distributions in Human Atherosclerotic Plaques Using 3D FSI Models

Author:

Tang Dalin1,Yang Chun2,Zheng Jie3,Woodard Pamela K.3,Saffitz Jeffrey E.4,Sicard Gregorio A.5,Pilgram Thomas K.3,Yuan Chun6

Affiliation:

1. Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA 01609

2. Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA 01609 and Mathematics Department, Beijing Normal University, Beijing, China

3. Mallinkcrodt Institute of Radiology, Washington University, St. Louis, MO 63110

4. Department of Pathology, Washington University, St. Louis, MO 63110

5. Department of Surgery, Washington University, St. Louis, MO 63110

6. Department of Radiology, University of Washington, Seattle, WA 98195

Abstract

Background: Atherosclerotic plaques may rupture without warning and cause acute cardiovascular syndromes such as heart attack and stroke. Methods to assess plaque vulnerability noninvasively and predict possible plaque rupture are urgently needed. Method: MRI-based three-dimensional unsteady models for human atherosclerotic plaques with multi-component plaque structure and fluid-structure interactions are introduced to perform mechanical analysis for human atherosclerotic plaques. Results: Stress variations on critical sites such as a thin cap in the plaque can be 300% higher than that at other normal sites. Large calcification block considerably changes stress/strain distributions. Stiffness variations of plaque components (50% reduction or 100% increase) may affect maximal stress values by 20–50 %. Plaque cap erosion causes almost no change on maximal stress level at the cap, but leads to 50% increase in maximal strain value. Conclusions: Effects caused by atherosclerotic plaque structure, cap thickness and erosion, material properties, and pulsating pressure conditions on stress/strain distributions in the plaque are quantified by extensive computational case studies and parameter evaluations. Computational mechanical analysis has good potential to improve accuracy of plaque vulnerability assessment.

Publisher

ASME International

Subject

Physiology (medical),Biomedical Engineering

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