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Journal article

Image processing and quality control for the first 10,000 brain imaging datasets from UK Biobank

Abstract:
UK Biobank is a large-scale prospective epidemiological study with all data accessible to researchers worldwide. It is currently in the process of bringing back 100,000 of the original participants for brain, heart and body MRI, carotid ultrasound and low-dose bone/fat x-ray. The brain imaging component covers 6 modalities (T1, T2 FLAIR, susceptibility weighted MRI, Resting fMRI, Task fMRI and Diffusion MRI). Raw and processed data from the first 10,000 imaged subjects has recently been released for general research access. To help convert this data into useful summary information we have developed an automated processing and QC (Quality Control) pipeline that is available for use by other researchers. In this paper we describe the pipeline in detail, following a brief overview of UK Biobank brain imaging and the acquisition protocol. We also describe several quantitative investigations carried out as part of the development of both the imaging protocol and the processing pipeline.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.neuroimage.2017.10.034

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author


More from this funder
Funding agency for:
Griffanti, L
Grant:
Monument Trust Discovery Award
More from this funder
Funding agency for:
Douaud, G
Grant:
MR/K006673/1
More from this funder
Funding agency for:
Vallee, E
Grant:
D4TD4D12/HM12.01
More from this funder
Funding agency for:
Griffanti, L
Grant:
Monument Trust Discovery Award
More from this funder
Grant:
Strategic Award [098369/Z/12/Z


Publisher:
Elsevier
Journal:
NeuroImage More from this journal
Volume:
166
Pages:
400-424
Publication date:
2017-10-24
Acceptance date:
2017-10-16
DOI:
ISSN:
1053-8119
Pmid:
29079522


Language:
English
Keywords:
Pubs id:
pubs:739142
UUID:
uuid:e78537a2-6acf-40d7-a753-5ad73e5344d3
Local pid:
pubs:739142
Source identifiers:
739142
Deposit date:
2017-10-31
ARK identifier:

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