Flow patterns and wall shear stress distributions at atherosclerotic-prone sites in a human left coronary artery - An exploration using combined methods of CT and computational fluid dynamics

Suo Jin, Yan Yang, John Oshinski, Allen Tannenbaum, James Gruden, Don Giddens

Research output: Contribution to journalConference article

25 Scopus citations

Abstract

Computed tomography (CT) slices are combined with computational fluid dynamics (CFD) to simulate the flow patterns in a human left coronary artery. The vascular model was reconstructed from CT slices scanned from a healthy volunteer in vivo. The spatial resolution of the slices is 0.6 × 0.6 × 0.625 mm so that geometrical details of the local wall surface of the vessel could be considered in the CFD modeling. This level of resolution is needed to investigate the wall shear stress (WSS) distribution, a factor generally recognized as a related to the atherogenesis. The WSS distributions on the main trunk and bifurcation of the left coronary artery of the model in one cardiac cycle are presented, and the results demonstrate that low and oscillating WSS is correlative with clinical observations of the atherosclerotic-prone sites in the left coronary artery.

Original languageEnglish (US)
Pages (from-to)3789-3791
Number of pages3
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 V
StatePublished - Dec 1 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: Sep 1 2004Sep 5 2004

Keywords

  • CFD
  • CT
  • Coronary artery
  • WSS

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Fingerprint Dive into the research topics of 'Flow patterns and wall shear stress distributions at atherosclerotic-prone sites in a human left coronary artery - An exploration using combined methods of CT and computational fluid dynamics'. Together they form a unique fingerprint.

  • Cite this