Effects of different non-Newtonian models on unsteady blood flow hemodynamics in patient-specific arterial models with in-vivo validation

Majid Abbasian, Mehrzad Shams, Ziba Valizadeh, Abouzar Moshfegh, Ashkan Jav, Shaokoon Cheng

Research output: Contribution to journalArticlepeer-review

89 Citations (Scopus)

Abstract

The aim of this study is to demonstrate the implications of using different blood rheological models in the simulation of blood flow dynamics in atherosclerotic coronary arteries. Computational fluid dynamics simulation was performed using three-dimensional (3D) patient-specific models of diseased left anterior descending (LAD) coronary arteries with varying degrees of stenosis severity. The three-dimensional arterial models were reconstructed from 3D quantitative coronary angiography, and input flow conditions were prescribed with blood flow conditions measured in-vivo. Different blood viscosity models were used for the simulations, and they include Newtonian and also non-Newtonian models such as Bingham, Carreau, Carreau-Yasuda, Casson, modified Casson, Cross, modified Cross, simplified Cross, Herschel Bulkley, Kuang-Luo (K-L), PowellErying, modified PowellErying, Power-law, Quemada and Walburn-Schneck models. Results from this study show that the time-averaged velocity at the centre of the arteries produced in the CFD simulations that uses the Carreau, modified Casson or Quemada blood viscosity models corresponded exceptionally well with the clinical measurements regardless of stenosis severities and hence, highlights the usefulness of these models to determine the potential determinants of blood vessel wall integrity such as dynamic blood viscosity, blood velocity and wall shear stress.
Original languageEnglish
Article number105185
Pages (from-to)1-15
Number of pages15
JournalComputer Methods and Programs in Biomedicine
Volume186
DOIs
Publication statusPublished - Apr 2020

Keywords

  • Coronary artery
  • Atherosclerosis
  • In-vivo validation
  • Non-Newtonian effects
  • Wall shear stress

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