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Journal article

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

Abstract:

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 automated diffusion MRI QC framework for single subject and group studies. The QC is based on a comprehensive, non-parametric approach for movement and distortion correction: FSL EDDY, which allows us to ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.neuroimage.2018.09.073

Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
ORCID:
0000-0002-8436-2919
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Psychiatry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Oxford college:
Pembroke College
Role:
Author
ORCID:
0000-0002-9133-5951
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Funding agency for:
Bastiani, M
Grant:
319456
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Funding agency for:
Cottaar, M
Grant:
EP/L023067
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Funding agency for:
Fitzgibbon, S
Grant:
319456
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Funding agency for:
Alfaro-Almagro, F
Grant:
UK Biobank funding
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Publisher:
Elsevier Publisher's website
Journal:
NeuroImage Journal website
Volume:
184
Pages:
801-812
Publication date:
2018-09-26
Acceptance date:
2018-09-25
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
Pmid:
30267859
Language:
English
Keywords:
Pubs id:
pubs:923587
UUID:
uuid:04a1d41e-b34c-4b26-a8bb-b05df0a2107b
Local pid:
pubs:923587
Deposit date:
2018-10-15

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