Automated mesh generation of an arterial bifurcation based upon in vivo MR images

Seung Lee, Nicole Piersol, Francis Loth, Paul Fischer, Gary Leaf, Barry Smith, Ramana Yedevalli, Atif Yardimci, Noam Alperin, Lewis Schwartz

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

An automated method is described for creating a computational fluid dynamic (CFD) mesh of a blood vessel lumen geometry based on in vivo measurements taken by magnetic resonance (MR) imaging. Study of the specific geometry and flow conditions in patients with vascular disease may contribute to our understanding of the relationship between their hemodynamic environment and conditions that lead to the development and progression of arterial disease.

Original languageEnglish (US)
Pages (from-to)719-722
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
StatePublished - Jan 1 2000
Externally publishedYes

Keywords

  • Computational fluid dynamics
  • Hemodynamics
  • Magnetic resonance imaging
  • Mesh

ASJC Scopus subject areas

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

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