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An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement
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 Dopp...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892875/ https://www.ncbi.nlm.nih.gov/pubmed/33603139 http://dx.doi.org/10.1038/s41598-021-83633-y |
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author | Castagna, Marco Levilly, Sébastien Paul-Gilloteaux, Perrine Moussaoui, Saïd Rousset, Jean-Marc Bonnefoy, Félicien Idier, Jérôme Serfaty, Jean-Michel Le Touzé, David |
author_facet | Castagna, Marco Levilly, Sébastien Paul-Gilloteaux, Perrine Moussaoui, Saïd Rousset, Jean-Marc Bonnefoy, Félicien Idier, Jérôme Serfaty, Jean-Michel Le Touzé, David |
author_sort | Castagna, Marco |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-7892875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78928752021-02-23 An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement Castagna, Marco Levilly, Sébastien Paul-Gilloteaux, Perrine Moussaoui, Saïd Rousset, Jean-Marc Bonnefoy, Félicien Idier, Jérôme Serfaty, Jean-Michel Le Touzé, David Sci Rep Article 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. Nature Publishing Group UK 2021-02-18 /pmc/articles/PMC7892875/ /pubmed/33603139 http://dx.doi.org/10.1038/s41598-021-83633-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Castagna, Marco Levilly, Sébastien Paul-Gilloteaux, Perrine Moussaoui, Saïd Rousset, Jean-Marc Bonnefoy, Félicien Idier, Jérôme Serfaty, Jean-Michel Le Touzé, David An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892875/ https://www.ncbi.nlm.nih.gov/pubmed/33603139 http://dx.doi.org/10.1038/s41598-021-83633-y |
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