Correlation between Reynolds number and eccentricity effect in stenosed artery models

Ashkan Javadzadegan, Yasutomo Shimizu, Masud Behnia, Makoto Ohta

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

BACKGROUND: Flow recirculation and shear strain are physiological processes within coronary arteries which are associated with pathogenic biological pathways. Distinct Quite apart from coronary stenosis severity, lesion eccentricity can cause flow recirculation and affect shear strain levels within human coronary arteries. OBJECTIVE: The aim of this study is to analyse the effect of lesion eccentricity on the transient flow behaviour in a model of a coronary artery and also to investigate the correlation between Reynolds number (Re) and the eccentricity effect on flow behaviour. METHODS: A transient particle image velocimetry (PIV) experiment was implemented in two silicone based models with 70% diameter stenosis, one with eccentric stenosis and one with concentric stenosis. RESULTS: At different times throughout the flow cycle, the eccentric model was always associated with a greater recirculation zone length, maximum shear strain rate and maximum axial velocity; however, the highest and lowest impacts of eccentricity were on the recirculation zone length and maximum shear strain rate, respectively. Analysis of the results revealed a negative correlation between the Reynolds number (Re) and the eccentricity effect on maximum axial velocity, maximum shear strain rate and recirculation zone length. CONCLUSIONS: As Re number increases the eccentricity effect on the flow behavior becomes negligible.

Original languageEnglish
Pages (from-to)357-367
Number of pages11
JournalTechnology and Health Care
Volume21
Issue number4
DOIs
Publication statusPublished - 2013 Sep 25

Keywords

  • Particle image velocimetry
  • Reynolds number
  • coronary artery
  • eccentricity
  • stenosis

ASJC Scopus subject areas

  • Biophysics
  • Bioengineering
  • Biomaterials
  • Information Systems
  • Biomedical Engineering
  • Health Informatics

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