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Hemodynamics in normal cerebral arteries: qualitative comparison of 4D phase-contrast magnetic resonance and image-based computational fluid dynamics

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Abstract

Detailed knowledge of the hemodynamic conditions in normal cerebral arteries is important for a better understanding of the underlying mechanisms leading to the initiation and progression of cerebrovascular diseases. Information about the baseline values of hemodynamic variables such as wall shear stresses is necessary for comparison to pathological conditions such as in cerebral aneurysms or arterial stenoses. The purpose of this study was to compare the blood-flow patterns in cerebral arteries of normal subjects determined by 4D phase-contrast magnetic resonance and image-based computational fluid-dynamics techniques in order to assess their consistency and to highlight their differences. The goal was not to validate (or disprove) any of the two methodologies but rather to identify regions where disagreements are to be expected and to provide guidance when interpreting the data produced by each technique.

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Authors and Affiliations

  1. Center for Computational Fluid Dynamics, George Mason University, Fairfax, VA, USA

    Juan R. Cebral

  2. Interventional Neuroradiology, Inova Fairfax Hospital, Falls Church, VA, USA

    Christopher M. Putman

  3. Lucas Center, Department of Radiology, Stanford University, Stanford, CA, USA

    Marcus T. Alley & Roland Bammer

  4. Department of Radiology, University of California, San Francisco, CA, USA

    Thomas Hope

  5. Brain Research Institute, Melbourne, VIC, Australia

    Fernando Calamante

  6. Department of Medicine, University of Melbourne, Melbourne, VIC, Australia

    Fernando Calamante

Authors
  1. Juan R. Cebral
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  2. Christopher M. Putman
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  3. Marcus T. Alley
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  4. Thomas Hope
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  5. Roland Bammer
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  6. Fernando Calamante
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Correspondence to Juan R. Cebral.

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Cebral, J.R., Putman, C.M., Alley, M.T. et al. Hemodynamics in normal cerebral arteries: qualitative comparison of 4D phase-contrast magnetic resonance and image-based computational fluid dynamics. J Eng Math 64, 367–378 (2009). https://doi.org/10.1007/s10665-009-9266-2

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  • DOI: https://doi.org/10.1007/s10665-009-9266-2

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