An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement

Abstract Wall Shear Stress (WSS) has been demonstrated to be a biomarker of the development of atherosclerosis. In vivo assessment of WSS is still challenging, but 4D Flow MRI represents a promising tool to provide 3D velocity data from which WSS can be calculated. In this study, a system based on L...

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Autores principales: Marco Castagna, Sébastien Levilly, Perrine Paul-Gilloteaux, Saïd Moussaoui, Jean-Marc Rousset, Félicien Bonnefoy, Jérôme Idier, Jean-Michel Serfaty, David Le Touzé
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/5ff5ef44a615446b9f8a4b7b55f2fcb9
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spelling oai:doaj.org-article:5ff5ef44a615446b9f8a4b7b55f2fcb92021-12-02T14:04:39ZAn LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement10.1038/s41598-021-83633-y2045-2322https://doaj.org/article/5ff5ef44a615446b9f8a4b7b55f2fcb92021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83633-yhttps://doaj.org/toc/2045-2322Abstract Wall Shear Stress (WSS) has been demonstrated to be a biomarker of the development of atherosclerosis. In vivo assessment of WSS is still challenging, but 4D Flow MRI represents a promising tool to provide 3D velocity data from which WSS can be calculated. In this study, a system based on Laser Doppler Velocimetry (LDV) was developed to validate new improvements of 4D Flow MRI acquisitions and derived WSS computing. A hydraulic circuit was manufactured to allow both 4D Flow MRI and LDV velocity measurements. WSS profiles were calculated with one 2D and one 3D method. Results indicated an excellent agreement between MRI and LDV velocity data, and thus the set-up enabled the evaluation of the improved performances of 3D with respect to the 2D-WSS computation method. To provide a concrete example of the efficacy of this method, the influence of the spatial resolution of MRI data on derived 3D-WSS profiles was investigated. This investigation showed that, with acquisition times compatible with standard clinical conditions, a refined MRI resolution does not improve WSS assessment, if the impact of noise is unreduced. This study represents a reliable basis to validate with LDV WSS calculation methods based on 4D Flow MRI.Marco CastagnaSébastien LevillyPerrine Paul-GilloteauxSaïd MoussaouiJean-Marc RoussetFélicien BonnefoyJérôme IdierJean-Michel SerfatyDavid Le TouzéNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Marco Castagna
Sébastien Levilly
Perrine Paul-Gilloteaux
Saïd Moussaoui
Jean-Marc Rousset
Félicien Bonnefoy
Jérôme Idier
Jean-Michel Serfaty
David Le Touzé
An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement
description Abstract Wall Shear Stress (WSS) has been demonstrated to be a biomarker of the development of atherosclerosis. In vivo assessment of WSS is still challenging, but 4D Flow MRI represents a promising tool to provide 3D velocity data from which WSS can be calculated. In this study, a system based on Laser Doppler Velocimetry (LDV) was developed to validate new improvements of 4D Flow MRI acquisitions and derived WSS computing. A hydraulic circuit was manufactured to allow both 4D Flow MRI and LDV velocity measurements. WSS profiles were calculated with one 2D and one 3D method. Results indicated an excellent agreement between MRI and LDV velocity data, and thus the set-up enabled the evaluation of the improved performances of 3D with respect to the 2D-WSS computation method. To provide a concrete example of the efficacy of this method, the influence of the spatial resolution of MRI data on derived 3D-WSS profiles was investigated. This investigation showed that, with acquisition times compatible with standard clinical conditions, a refined MRI resolution does not improve WSS assessment, if the impact of noise is unreduced. This study represents a reliable basis to validate with LDV WSS calculation methods based on 4D Flow MRI.
format article
author Marco Castagna
Sébastien Levilly
Perrine Paul-Gilloteaux
Saïd Moussaoui
Jean-Marc Rousset
Félicien Bonnefoy
Jérôme Idier
Jean-Michel Serfaty
David Le Touzé
author_facet Marco Castagna
Sébastien Levilly
Perrine Paul-Gilloteaux
Saïd Moussaoui
Jean-Marc Rousset
Félicien Bonnefoy
Jérôme Idier
Jean-Michel Serfaty
David Le Touzé
author_sort Marco Castagna
title An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement
title_short An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement
title_full An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement
title_fullStr An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement
title_full_unstemmed An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement
title_sort ldv based method to quantify the error of pc-mri derived wall shear stress measurement
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/5ff5ef44a615446b9f8a4b7b55f2fcb9
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