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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Principais autores:	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
格式:	Artigo
語言:	Inglês
出版:	Frontiers Media S.A. 2021-11-01
叢編:	Frontiers in Physics
主題:	quantitative MRI (qMRI) protocol design artificial neural network (ANN) diffusion-relaxation brain prostate
在線閱讀:	https://www.frontiersin.org/articles/10.3389/fphy.2021.752208/full
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