2017
DOI: 10.1002/mrm.26927
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3D axial and circumferential wall shear stress from 4D flow MRI data using a finite element method and a laplacian approach

Abstract: We developed a novel methodology to decompose the WSS vector in WSS and WSS in 3D domains, using 4D flow MRI data. Our method provides a more robust quantification of WSS and WSS in comparison with other reported methods. Magn Reson Med 79:2816-2823, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

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Cited by 44 publications
(45 citation statements)
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“…However, reproducibility and inter-observer variability of this processing method were previously investigated and show reproducibility and limited inter-observer variability [ 26 ]. Also, the spatial resolution used in this study were similar to other 4D flow MRI studies [ 7 , 27 ].…”
Section: Discussionmentioning
confidence: 60%
“…However, reproducibility and inter-observer variability of this processing method were previously investigated and show reproducibility and limited inter-observer variability [ 26 ]. Also, the spatial resolution used in this study were similar to other 4D flow MRI studies [ 7 , 27 ].…”
Section: Discussionmentioning
confidence: 60%
“…Specifically, [4,6] have shown the effect of WSS on the organization of the endothelial cells. The impact of WSS has been studied on several cardiovascular pathologies, in terms of magnitude [1,7], of axial and circumferential direction [8], and of time variation using the Oscillatory Shear Index (OSI) [9,10].…”
Section: State Of the Artmentioning
confidence: 99%
“…Therefore, in BAV patients, the elevated WSS of the ascending aorta was related to aortic valve stenosis and aortic dilatation, which was more obviously when patients manifested as AS and nondilated ascending aorta (Farag et al, 2018). If decomposed the WSS vector field into its axial and circumferential components (WSSA and WSSC) from 4D flow MRI data using a Laplacian approach, the average WSSC in the ascending aorta was statistically significant difference as a parameter for evaluating multidirectional flow in complex geometries (Sotelo et al, 2018).…”
Section: Aortic Stenosis: Multiple Imaging Technology Evaluationmentioning
confidence: 99%