Sensitivity analysis of 3D MRI-based models with fluid-structure interactions for human atherosclerotic coronary and carotid plaques

Dalin Tang, Chun Yang, Jie Zheng, Pamela K. Woodard, Gregorio A. Sicardd, Jeffrey E. Saffitze, Chun Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Accuracy and reliability are extremely important when computational models are used to analyze biological systems and make diagnostic decisions and clinical predictions. In this paper, sensitivity analysis is performed for magnetic resonance imaging (MRI)-based three-dimensional (3D) models with multi-component plaque structure and fluid- structure interactions (FSI) to quantify effects of various controlling factors on stress/strain distributions in human atherosclerotic coronary and carotid plaques. Our quantitative results indicate that plaque morphology and structure, vessel and plaque material properties, and pressure conditions all have considerable effects on flow and plaque stress/ strain behaviors. This FSI multi-component model provides more complete stress/strain analysis and better interpretation of information from magnetic resonance images and may lead to more accurate plaque vulnerability assessment and rupture predictions.

Original languageEnglish
Title of host publication3rd M.I.T. Conference on Computational Fluid and Solid Mechanics
Pages1009-1013
Number of pages5
StatePublished - Dec 1 2005
Event3rd M.I.T. Conference on Computational Fluid and Solid Mechanics - Boston, MA, United States
Duration: Jun 14 2005Jun 17 2005

Publication series

Name3rd M.I.T. Conference on Computational Fluid and Solid Mechanics

Conference

Conference3rd M.I.T. Conference on Computational Fluid and Solid Mechanics
CountryUnited States
CityBoston, MA
Period06/14/0506/17/05

Keywords

  • Artery
  • Atherosclerotic plaque
  • Carotid
  • Coronary
  • Fluid-structure interactions
  • MRI

Fingerprint Dive into the research topics of 'Sensitivity analysis of 3D MRI-based models with fluid-structure interactions for human atherosclerotic coronary and carotid plaques'. Together they form a unique fingerprint.

Cite this