Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.
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Published version
Author(s)
Type
Journal Article
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.
Date Issued
2017-10-24
Date Acceptance
2017-10-16
Citation
NeuroImage, 2017, 166, pp.400-424
ISSN
1053-8119
Publisher
Elsevier
Start Page
400
End Page
424
Journal / Book Title
NeuroImage
Volume
166
Copyright Statement
© 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/).
License URL
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Medical Research Council (MRC)
Medical Research Council (MRC)
Medical Research Council (MRC)
Identifier
PII: S1053-8119(17)30861-3
Grant Number
EP/N014529/1
MRC/MR/M024962/1
R119705
HQR00720
Subjects
Big data imaging
EEpidemiological studies
Image analysis pipeline
Machine learning
Multi-modal data integration
Quality control
Publication Status
Published