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

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 compo...

Full description

Saved in:
Bibliographic Details
Published inNeuroImage (Orlando, Fla.) Vol. 166; pp. 400 - 424
Main Authors Alfaro-Almagro, Fidel, Jenkinson, Mark, Bangerter, Neal K., Andersson, Jesper L.R., Griffanti, Ludovica, Douaud, Gwenaëlle, Sotiropoulos, Stamatios N., Jbabdi, Saad, Hernandez-Fernandez, Moises, Vallee, Emmanuel, Vidaurre, Diego, Webster, Matthew, McCarthy, Paul, Rorden, Christopher, Daducci, Alessandro, Alexander, Daniel C., Zhang, Hui, Dragonu, Iulius, Matthews, Paul M., Miller, Karla L., Smith, Stephen M.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.02.2018
Elsevier Limited
Academic Press
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2017.10.034