2021
DOI: 10.3389/fphys.2021.718540
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Comparison of Newtonian and Non-newtonian Fluid Models in Blood Flow Simulation in Patients With Intracranial Arterial Stenosis

Abstract: BackgroundNewtonian fluid model has been commonly applied in simulating cerebral blood flow in intracranial atherosclerotic stenosis (ICAS) cases using computational fluid dynamics (CFD) modeling, while blood is a shear-thinning non-Newtonian fluid. We aimed to investigate the differences of cerebral hemodynamic metrics quantified in CFD models built with Newtonian and non-Newtonian fluid assumptions, in patients with ICAS.MethodsWe built a virtual artery model with an eccentric 75% stenosis and performed stat… Show more

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Cited by 47 publications
(40 citation statements)
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References 50 publications
(71 reference statements)
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“…Blood flow was modelled as an incompressible Newtonian fluid with viscosity (η) of 3.5x10-3 Pa ⋅s and density (ρ) of 1060 kg/m3 [ 9 , 10 ]. Viscosity and density were assumed to be constant throughout the simulation process.…”
Section: Methodsmentioning
confidence: 99%
“…Blood flow was modelled as an incompressible Newtonian fluid with viscosity (η) of 3.5x10-3 Pa ⋅s and density (ρ) of 1060 kg/m3 [ 9 , 10 ]. Viscosity and density were assumed to be constant throughout the simulation process.…”
Section: Methodsmentioning
confidence: 99%
“…CBF can also be measured on the scale of large arteries or on the scale of the microvasculature. Given that NIRS primary examines CBF at the microvascular level, concordance with method of measuring CBF at the arterial level maybe limited, especially considering that the factors that influence CBF on the arterial scale (Leng et al, 2017;Liu et al, 2018) can be distinct from those that influence microvascular CBF (Tikhomirova et al, 2011;Liu et al, 2021).This difference in scale of measurement has not been fully explored in the literature despite NIRS becoming increasingly substituted as an alternative method of evaluating CBF in clinical studies (Yang et al, 2019;Tian et al, 2021;Guo and Chen, 2022).…”
Section: Limitations Of the Literaturementioning
confidence: 99%
“…In recent years, computational fluid mechanics has emerged as a powerful tool to more precisely explore the cause of cerebral haemorrhage, to probe the mechanism underlying the complex physical events in brain and to serve as a supplement to other medical equipment for higher precision. [17][18][19][20][21] Researchers reportedly simulated the cerebral circulation to look into the pathogenesis of ICH. 22 However, to our knowledge, the relationship between the MCA geometric features and spontaneous basal ganglia ICH have not been investigated, especially by using the computational fluid dynamic (CFD) technique.…”
Section: Open Accessmentioning
confidence: 99%
“…In recent years, computational fluid mechanics has emerged as a powerful tool to more precisely explore the cause of cerebral haemorrhage, to probe the mechanism underlying the complex physical events in brain and to serve as a supplement to other medical equipment for higher precision 17–21. Researchers reportedly simulated the cerebral circulation to look into the pathogenesis of ICH 22.…”
Section: Introductionmentioning
confidence: 99%