Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.

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Title: Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.
Author(s): Alfaro-Almagro, F
Jenkinson, M
Bangerter, NK
Andersson, JLR
Griffanti, L
Douaud, G
Sotiropoulos, SN
Jbabdi, S
Hernandez-Fernandez, M
Vallee, E
Vidaurre, D
Webster, M
McCarthy, P
Rorden, C
Daducci, A
Alexander, DC
Zhang, H
Dragonu, I
Matthews, PM
Miller, KL
Smith, SM
Item 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.
Publication Date: 24-Oct-2017
Date of Acceptance: 16-Oct-2017
URI: http://hdl.handle.net/10044/1/53407
DOI: https://dx.doi.org/10.1016/j.neuroimage.2017.10.034
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/).
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Medical Research Council (MRC)
Medical Research Council (MRC)
Medical Research Council (MRC)
Funder's Grant Number: EP/N014529/1
MRC/MR/M024962/1
R119705
HQR00720
Keywords: Big data imaging
Epidemiological studies
Image analysis pipeline
Machine learning
Multi-modal data integration
Quality control
Big data imaging
EEpidemiological studies
Image analysis pipeline
Machine learning
Multi-modal data integration
Quality control
11 Medical And Health Sciences
17 Psychology And Cognitive Sciences
Neurology & Neurosurgery
Publication Status: Published
Appears in Collections:Department of Medicine
Faculty of Medicine



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