An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement - IMT - Institut Mines-Télécom Accéder directement au contenu
Article Dans Une Revue Scientific Reports Année : 2021

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

Résumé

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.
Fichier principal
Vignette du fichier
Castagna21.pdf (1.9 Mo) Télécharger le fichier
Origine : Publication financée par une institution

Dates et versions

hal-03149044 , version 1 (18-10-2021)

Identifiants

Citer

Marco Castagna, Sébastien Levilly, Perrine Paul-Gilloteaux, Saïd Moussaoui, Jean-Marc Rousset, et al.. An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement. Scientific Reports, 2021, 11 (1), pp.4112. ⟨10.1038/s41598-021-83633-y⟩. ⟨hal-03149044⟩
81 Consultations
26 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More