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contributor authorMolony, D. S.
contributor authorPark, J.
contributor authorZhou, L.
contributor authorFleischer, C. C.
contributor authorSun, H. Y.
contributor authorHu, X. P.
contributor authorOshinski, J. N.
contributor authorSamady, H.
contributor authorGiddens, D. P.
contributor authorRezvan, A.
date accessioned2019-03-17T10:30:07Z
date available2019-03-17T10:30:07Z
date copyright10/17/2018 12:00:00 AM
date issued2019
identifier issn0148-0731
identifier otherbio_141_01_011003.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256163
description abstractAnimal models offer a flexible experimental environment for studying atherosclerosis. The mouse is the most commonly used animal, however, the underlying hemodynamics in larger animals such as the rabbit are far closer to that of humans. The aortic arch is a vessel with complex helical flow and highly heterogeneous shear stress patterns which may influence where atherosclerotic lesions form. A better understanding of intraspecies flow variation and the impact of geometry on flow may improve our understanding of where disease forms. In this work, we use magnetic resonance angiography (MRA) and 4D phase contrast magnetic resonance imaging (PC-MRI) to image and measure blood velocity in the rabbit aortic arch. Measured flow rates from the PC-MRI were used as boundary conditions in computational fluid dynamics (CFD) models of the arches. Helical flow, cross flow index (CFI), and time-averaged wall shear stress (TAWSS) were determined from the simulated flow field. Both traditional geometric metrics and shape modes derived from statistical shape analysis were analyzed with respect to flow helicity. High CFI and low TAWSS were found to colocalize in the ascending aorta and to a lesser extent on the inner curvature of the aortic arch. The Reynolds number was linearly associated with an increase in helical flow intensity (R = 0.85, p < 0.05). Both traditional and statistical shape analyses correlated with increased helical flow symmetry. However, a stronger correlation was obtained from the statistical shape analysis demonstrating its potential for discerning the role of shape in hemodynamic studies.
publisherThe American Society of Mechanical Engineers (ASME)
titleBulk Flow and Near Wall Hemodynamics of the Rabbit Aortic Arch and Descending Thoracic Aorta: A 4D PC-MRI Derived Computational Fluid Dynamics Study
typeJournal Paper
journal volume141
journal issue1
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.4041222
journal fristpage11003
journal lastpage011003-11
treeJournal of Biomechanical Engineering:;2019:;volume( 141 ):;issue: 001
contenttypeFulltext


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