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contributor authorConcannon, J.
contributor authorHynes, N.
contributor authorMcMullen, M.
contributor authorSmyth, E.
contributor authorMoerman, K.
contributor authorMcHugh, P. E.
contributor authorSultan, S.
contributor authorKarmonik, C.
contributor authorMcGarry, J. P.
date accessioned2022-02-04T23:02:33Z
date available2022-02-04T23:02:33Z
date copyright11/1/2020 12:00:00 AM
date issued2020
identifier issn0148-0731
identifier otherbio_142_11_114502.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4275973
description abstractAdvancement of subject-specific in silico medicine requires new imaging protocols tailored to specific anatomical features, paired with new constitutive model development based on structure/function relationships. In this study, we develop a new dual-velocity encoding coefficient (VENC) 4D flow MRI protocol that provides unprecedented spatial and temporal resolution of in vivo aortic deformation. All previous dual-VENC 4D flow MRI studies in the literature focus on an isolated segment of the aorta, which fail to capture the full spectrum of aortic heterogeneity that exists along the vessel length. The imaging protocol developed provides high sensitivity to all blood flow velocities throughout the entire cardiac cycle, overcoming the challenge of accurately measuring the highly unsteady nonuniform flow field in the aorta. Cross-sectional area change, volumetric flow rate, and compliance are observed to decrease with distance from the heart, while pulse wave velocity (PWV) is observed to increase. A nonlinear aortic lumen pressure–area relationship is observed throughout the aorta such that a high vessel compliance occurs during diastole, and a low vessel compliance occurs during systole. This suggests that a single value of compliance may not accurately represent vessel behavior during a cardiac cycle in vivo. This high-resolution MRI data provide key information on the spatial variation in nonlinear aortic compliance, which can significantly advance the state-of-the-art of in-silico diagnostic techniques for the human aorta.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Dual-VENC Four-Dimensional Flow MRI Framework for Analysis of Subject-Specific Heterogeneous Nonlinear Vessel Deformation
typeJournal Paper
journal volume142
journal issue11
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.4048649
journal fristpage0114502-1
journal lastpage0114502-15
page15
treeJournal of Biomechanical Engineering:;2020:;volume( 142 ):;issue: 011
contenttypeFulltext


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