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...

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Detalles Bibliográficos
Autores principales: Bastiani, Matteo, Cottaar, Michiel, Fitzgibbon, Sean P., Suri, Sana, Alfaro-Almagro, Fidel, Sotiropoulos, Stamatios N., Jbabdi, Saad, Andersson, Jesper L.R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264528/
https://www.ncbi.nlm.nih.gov/pubmed/30267859
http://dx.doi.org/10.1016/j.neuroimage.2018.09.073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264528/
https://www.ncbi.nlm.nih.gov/pubmed/30267859
http://dx.doi.org/10.1016/j.neuroimage.2018.09.073

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