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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2021
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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) |
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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 |
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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 |
work_keys_str_mv |
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