Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction

Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction

Diffusion MRI data can be affected by hardware and subject-related artefacts that can adversely affect downstream analyses. Therefore, automated quality control (QC) is of great importance, especially in large population studies where visual QC is not practical. In this work, we introduce an automat...

Полное описание

Библиографические подробности
Главные авторы:	Bastiani, M, Cottaar, M, Fitzgibbon, S, Suri, S, Alfaro-Almagro, F, Sotiropoulos, S, Jbabdi, S, Andersson, J
Формат:	Journal article
Язык:	English
Опубликовано:	Elsevier 2018

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