Table of Content

Open Access iconOpen Access

ARTICLE

Intravascular Ultrasound (IVUS)-Based Computational Modeling and Planar Biaxial Artery Material Properties for Human Coronary Plaque Vulnerability Assessment

Mingchao Cai1, Chun Yang2, Mehmet H. Kural1, Richard Bach3, David Muccigrosso4, Deshan Yang5, Jie Zheng4, Kristen L. Billia1, Dalin Tang1,6

1 Worcester Polytechnic Institute, Worcester, MA 01609
2 School of Mathematical Sciences, Beijing Normal University, Key Laboratory of Mathematics and Complex Systems, Ministry of Education, Beijing, 100875, China
3 Cardiovascular Division, Washington University School of Medicine, Saint Louis, MO 63110, USA
4 Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110 USA
5 Radiation Oncology, Washington University School of Medicine, Saint Louis, MO 63110, USA
6 Corresponding author, dtang@wpi.edu

Structural Longevity 2011, 6(2), 39-46. https://doi.org/10.3970/sl.2011.006.039

Abstract

Image-based computational modeling has been introduced for vulnerable atherosclerotic plaques to identify critical mechanical conditions which may be used for better risk assessment and rupture predictions. In vivo patient-specific coronary plaque models are lagging due to limitations on non-invasive image resolution, flow data, and vessel material properties. We propose a procedure where intravascular ultrasound (IVUS) imaging, biaxial mechanical testing and computational modeling are combined together to acquire better and more complete plaque data and make more accurate plaque vulnerability assessment and predictions.

Keywords


Cite This Article

Cai, M., Yang, C., Kural, M. H., Bach, R., Muccigrosso, D. et al. (2011). Intravascular Ultrasound (IVUS)-Based Computational Modeling and Planar Biaxial Artery Material Properties for Human Coronary Plaque Vulnerability Assessment. Structural Longevity, 6(2), 39–46. https://doi.org/10.3970/sl.2011.006.039



cc 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.
  • 446

    View

  • 424

    Download

  • 0

    Like

Share Link