• Journal Logo

Table of Content

Open Access iconOpen Access

ABSTRACT

Using 3D Thin-Layer Model with in Vivo Patient-Specific Vessel Material Properties to Assesse Carotid Atherosclerotic Plaque Vulnerability

Qingyu Wang1, Dalin Tang1,2,*, Gador Canton3, Zheyang Wu2, Thomas S. Hatsukami4, Kristen L Billiar5, Chun Yuan6

1 School of Biological Science and Medical Engineering, Southeast University, Nanjing, 201196, China.
2 Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.
3 Department of Mechanical Engineering, University of Washington, Seattle, WA, 98195, USA.
4 Division of Vascular Surgery, University of Washington, Seattle, WA, 98195, USA.
5 Biomedical Engineering Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.
6 Department of Radiology, University of Washington, Seattle, WA, 98195, USA.
* Corresponding Author: Dalin Tang. Email: dtang@wpi.edu.

Molecular & Cellular Biomechanics 2019, 16(Suppl.1), 81-82. https://doi.org/10.32604/mcb.2019.05748

Abstract

This article has no abstract.

Cite This Article

APA Style
Wang, Q., Tang, D., Canton, G., Wu, Z., Hatsukami, T.S. et al. (2019). Using 3D thin-layer model with in vivo patient-specific vessel material properties to assesse carotid atherosclerotic plaque vulnerability . Molecular & Cellular Biomechanics, 16(Suppl.1), 81-82. https://doi.org/10.32604/mcb.2019.05748
Vancouver Style
Wang Q, Tang D, Canton G, Wu Z, Hatsukami TS, Billiar KL, et al. Using 3D thin-layer model with in vivo patient-specific vessel material properties to assesse carotid atherosclerotic plaque vulnerability . Mol Cellular Biomechanics . 2019;16(Suppl.1):81-82 https://doi.org/10.32604/mcb.2019.05748
IEEE Style
Q. Wang et al., “Using 3D Thin-Layer Model with in Vivo Patient-Specific Vessel Material Properties to Assesse Carotid Atherosclerotic Plaque Vulnerability ,” Mol. Cellular Biomechanics , vol. 16, no. Suppl.1, pp. 81-82, 2019. https://doi.org/10.32604/mcb.2019.05748



cc Copyright © 2019 The Author(s). Published by Tech Science Press.
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.
  • 2158

    View

  • 1085

    Download

  • 0

    Like

Share Link