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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(Preview, Version of record, pdf, 8.2MB, Terms of use)
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- Publisher copy:
- 10.1016/j.neuroimage.2017.10.034
Authors
+ Parkinson’s UK
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- Funding agency for:
- Griffanti, L
- Grant:
- Monument Trust Discovery Award
+ Engineering and Physical Sciences Research Council
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- Funding agency for:
- Vallee, E
- Grant:
- D4TD4D12/HM12.01
+ National Institute for Health Research
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- Funding agency for:
- Griffanti, L
- Grant:
- Monument Trust Discovery Award
- 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:
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1053-8119
- Pmid:
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29079522
- Language:
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English
- Keywords:
- Pubs id:
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pubs:739142
- UUID:
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uuid:e78537a2-6acf-40d7-a753-5ad73e5344d3
- Local pid:
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pubs:739142
- Source identifiers:
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739142
- Deposit date:
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2017-10-31
- ARK identifier:
Terms of use
- Copyright holder:
- Alfaro-Almagro et al
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
- Licence:
- CC Attribution (CC BY)
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