Prediction of the coronary plaque growth and vulnerability change by using patient-specific 3D fluid-structure interaction models based on intravascular ultrasound and optical coherence tomography follow-up data

Dalin Tang, Chun Yang, Liang Wang, Xiaoya Guo, Akiko Maehara, Mitsuaki Matsumura, Gary S. Mintz, David Molony, Habib Samady, Don P. Giddens, Jie Zheng, Jian Zhu, Genshan Ma, Haibo Jia, Kristen Billiar

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Image-based computational models have been used by many researchers to quantify mechanical stress/strain conditions and flow wall shear stress and try to use them to understand mechanisms governing vulnerable plaque progression and rupture processes. In this chapter, we will focus on human coronary plaque modeling efforts based on in vivo imaging data, including image preparation, 3D reconstruction, residual stress, vessel zero-load geometry, in vivo vessel material properties, plaque progression prediction, and plaque vulnerability change prediction based on patient follow-up data. Imaging and modeling limitations and challenges will also be discussed.

Original languageEnglish
Title of host publicationBiomechanics of Coronary Atherosclerotic Plaque
Subtitle of host publicationFrom Model to Patient
PublisherElsevier
Pages315-333
Number of pages19
ISBN (Electronic)9780128171950
ISBN (Print)9780128171967
DOIs
StatePublished - Jan 1 2021

Keywords

  • Coronary
  • Plaque mechanical analysis
  • Plaque progression
  • Plaque rupture
  • Plaque vulnerability
  • Progression prediction
  • Vulnerable plaque

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