Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning

Author:

Planchuelo-Gómez ÁlvaroORCID,Descoteaux MaximeORCID,Larochelle Hugo,Hutter JanaORCID,Jones Derek K.,Tax Chantal M.W.ORCID

Funder

EPSRC

Dutch Research Council

Agencia Estatal de Investigación

Wellcome Trust

Espana Ministerio de Ciencia e Innovacion

Publisher

Elsevier BV

Reference53 articles.

1. Concrete Autoencoders for Differentiable Feature Selection and Reconstruction;Abid,2019

2. A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features;Alexander;Magn. Reson. Med.,2008

3. How to correct susceptibility distortions in spin-echo echo-planar images: Application to diffusion tensor imaging;Andersson;NeuroImage,2003

4. Analysis and generalized correction of the effect of spatial gradient field distortions in diffusion-weighted imaging;Bammer;Magn. Reson. Med.,2003

5. Progressive subsampling for oversampled data - application to Quantitative MRI;Blumberg,2022

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