title: Hemodynamics in Normal Cerebral Arteries: Qualitative Comparison of 4D Phase-Contrast Magnetic Resonance and Image-Based Computational Fluid Dynamics.
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.
authors.affiliation: Center for Computational Fluid Dynamics, George Mason University, Fairfax, Virginia, USA.
authors.forename: Juan R
authors.initials: JR
authors.lastname: Cebral
authors.forename: Christopher M
authors.initials: CM
authors.lastname: Putman
authors.forename: Marcus T
authors.initials: MT
authors.lastname: Alley
authors.forename: Thomas
authors.initials: T
authors.lastname: Hope
authors.forename: Roland
authors.initials: R
authors.lastname: Bammer
authors.forename: Fernando
authors.initials: F
authors.lastname: Calamante
references.citation: AJNR Am J Neuroradiol. 2007 Mar;28(3):433-8
references.pmid: 17353308
references.citation: J Neurosurg. 2001 Dec;95(6):1020-7
references.pmid: 11765817
references.citation: AJNR Am J Neuroradiol. 1999 Aug;20(7):1309-17
references.pmid: 10472991
references.citation: Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Aug;68(2 Pt 1):021918
references.pmid: 14525017
references.citation: AJNR Am J Neuroradiol. 2003 Oct;24(9):1804-10
references.pmid: 14561606
references.citation: Stroke. 2007 Sep;38(9):2500-5
references.pmid: 17673714
references.citation: IEEE Trans Med Imaging. 2001 Dec;20(12):1411-21
references.pmid: 11811840
references.citation: J Biomech. 2001 Jun;34(6):815-9
references.pmid: 11470121
references.citation: Stroke. 2004 Nov;35(11):2500-5
references.pmid: 15514200
references.citation: AJNR Am J Neuroradiol. 2005 Nov-Dec;26(10):2550-9
references.pmid: 16286400
references.citation: Comput Methods Biomech Biomed Engin. 2000;4(1):1-26
references.pmid: 11264859
references.citation: Stroke. 1984 Sep-Oct;15(5):846-50
references.pmid: 6474536
references.citation: Magn Reson Med. 2003 May;49(5):934-44
references.pmid: 12704777
references.citation: J Neurosurg. 2002 Jan;96(1):3-42
references.pmid: 11794601
references.citation: IEEE Trans Med Imaging. 2005 Apr;24(4):457-67
references.pmid: 15822804
references.citation: IEEE Trans Med Imaging. 2003 Jul;22(7):875-81
references.pmid: 12906241
references.citation: Neuroimage. 2003 Jun;19(2 Pt 1):341-53
references.pmid: 12814584
references.citation: J Magn Reson Imaging. 2007 Sep;26(3):598-605
references.pmid: 17729354
references.citation: Magn Reson Med. 2007 Jan;57(1):127-40
references.pmid: 17195166
references.citation: AJNR Am J Neuroradiol. 2003 Apr;24(4):559-66
references.pmid: 12695182