Coronary arterial dynamics computation with medical-image-based time-dependent anatomical models and element-based zero-stress state estimates

Kenji Takizawa, Ryo Torii, Hirokazu Takagi, Tayfun E. Tezduyar, Xiao Y. Xu

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

We propose a method for coronary arterial dynamics computation with medical-image-based time-dependent anatomical models. The objective is to improve the computational analysis of coronary arteries for better understanding of the links between the atherosclerosis development and mechanical stimuli such as endothelial wall shear stress and structural stress in the arterial wall. The method has two components. The first one is element-based zero-stress (ZS) state estimation, which is an alternative to prestress calculation. The second one is a “mixed ZS state” approach, where the ZS states for different elements in the structural mechanics mesh are estimated with reference configurations based on medical images coming from different instants within the cardiac cycle. We demonstrate the robustness of the method in a patient-specific coronary arterial dynamics computation where the motion of a thin strip along the arterial surface and two cut surfaces at the arterial ends is specified to match the motion extracted from the medical images.

Original languageEnglish
Pages (from-to)1047-1053
Number of pages7
JournalComputational Mechanics
Volume54
Issue number4
DOIs
Publication statusPublished - 2014 Oct 1

Keywords

  • Coronary arterial dynamics
  • Coronary atherosclerosis
  • Element-based zero-stress state estimate
  • Medical-image-based data
  • Mixed zero-stress state
  • Time-dependent anatomical model

ASJC Scopus subject areas

  • Computational Mechanics
  • Ocean Engineering
  • Mechanical Engineering
  • Computational Theory and Mathematics
  • Computational Mathematics
  • Applied Mathematics

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