Evidence for non-Newtonian behavior of intracranial blood flow from Doppler ultrasonography measurements.

Computational fluid dynamics (CFD) studies of intracranial hemodynamics often use Newtonian viscosity model to close the shear rate term in the Navier-Stokes equation. This is based on a commonly accepted hypothesis which state that non-Newtonian effects can be neglected in intracranial blood flow....

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Publicado en:Medical & Biological Engineering & Computing Vol. 57; no. 5; pp. 1029 - 1037
Autores principales: Saqr, Khalid M., Mansour, Ossama, Tupin, Simon, Hassan, Tamer, Ohta, Makoto
Formato: Journal Article
Publicado: Springer Nature May2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2019
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      pub: Springer Nature
      place: New York, New York
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        atl: Evidence for non-Newtonian behavior of intracranial blood flow from Doppler ultrasonography measurements.
      aug:
        au:
          Saqr, Khalid M.
          Mansour, Ossama
          Tupin, Simon
          Hassan, Tamer
          Ohta, Makoto
        affil: Biomedical Flow Dynamics Laboratory, Institute of Fluid Science, Tohoku University, 980-8577, Sendai, Miyagi, Japan
      sug:
        subj:
          Cerebrovascular Circulation Physiology
          Ultrasonography, Doppler Methods
          Carotid Arteries
          Models, Biological
          Cerebral Arteries
          Middle Age
          Ultrasonography, Doppler Statistics and Numerical Data
          Male
          Blood Flow Velocity Physiology
          Hemodynamics
          Female
          Middle Cerebral Artery
          Arthritis Impact Measurement Scales
          Middle Aged: 45-64 years
          Male
          Female
      ab: Computational fluid dynamics (CFD) studies of intracranial hemodynamics often use Newtonian viscosity model to close the shear rate term in the Navier-Stokes equation. This is based on a commonly accepted hypothesis which state that non-Newtonian effects can be neglected in intracranial blood flow. This study aims to examine the validity of such hypothesis to guide future CFD studies of intracranial hemodynamics. Doppler ultrasonography (DUS) measurements of systolic and diastolic vessel diameter and blood velocity were conducted on 16 subjects (mean age 50.6). The measurements were conducted on the internal carotid (ICA), middle cerebral (MCA), and anterior communicating (AComA) arteries. Systolic and diastolic wall shear stress (WSS) values were calculated via the Hagen-Poiseuille exact solution using Newtonian and three different non-Newtonian models: namely Carreau, power-law and Herschel-Bulkley models. The Weissenberg-Rabinowitsch correction for blood shear-thinning viscosity was applied to the non-Newtonian models. The error percentage between the two sets of models was calculated and discussed. The Newtonian hypothesis was tested statistically and discussed using paired t tests. Significant differences (P < 0.0001) were found between the Newtonian and non-Newtonian WSS in ICA. In MCA and AComA, similar differences were found except in the systole and diastole for the Herschel-Bulkley and power-law models (P = 0.0669, P = 0.7298), respectively. The error between the Newtonian and non-Newtonian models ranged from - 27 to 30% (0.2 to 2.2 Pa). These values could affect the physical interpretation of IA CFD studies. Evidence suggests that the Newtonian assumption may be inappropriate to investigate intracranial hemodynamics. Graphical abstract The WSS estimation error resulting from using the Newtonian assumption compared to three non-Newtonian models for ICA, MCA, and AComA in systole and diastole conditions, based on TCCD measurements of 16 subjects. The error due to the Newtonian assumption ranged from 0.2 to 2.2 Pa (- 27 to 30%). These values could affect the physical interpretation of IA CFD studies.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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