Feasibility of Data-Driven, Model-Free Quantitative MRI Protocol Design: Application to Brain and Prostate Diffusion-Relaxation Imaging

Feasibility of Data-Driven, Model-Free Quantitative MRI Protocol Design: Application to Brain and Prostate Diffusion-Relaxation Imaging

Purpose: We investigate the feasibility of data-driven, model-free quantitative MRI (qMRI) protocol design on in vivo brain and prostate diffusion-relaxation imaging (DRI).Methods: We select subsets of measurements within lengthy pilot scans, without identifying tissue parameters for which to optimi...

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Détails bibliographiques
Auteurs principaux: Francesco Grussu, Stefano B. Blumberg, Marco Battiston, Lebina S. Kakkar, Hongxiang Lin, Andrada Ianuş, Torben Schneider, Saurabh Singh, Roger Bourne, Shonit Punwani, David Atkinson, Claudia A. M. Gandini Wheeler-Kingshott, Eleftheria Panagiotaki, Thomy Mertzanidou, Daniel C. Alexander
Format: article
Langue:EN
Publié: Frontiers Media S.A. 2021
Sujets:
quantitative MRI (qMRI)
protocol design
artificial neural network (ANN)
diffusion-relaxation
brain
prostate
Physics
QC1-999
Accès en ligne:https://doaj.org/article/dde3530e76cb45218a05c5fe9fae8da8
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https://doaj.org/article/dde3530e76cb45218a05c5fe9fae8da8

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