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

Fidel Alfaro‐Almagro(University of Oxford), Mark Jenkinson(University of Oxford), Neal K. Bangerter(Brigham Young University), Jesper Andersson(Wellcome Centre for Integrative Neuroimaging), Ludovica Griffanti(University of Oxford), Gwenaëlle Douaud(University of Oxford), Stamatios N. Sotiropoulos(Wellcome Centre for Integrative Neuroimaging), Saâd Jbabdi(University of Oxford), Moisés Hernández-Fernández(Wellcome Centre for Integrative Neuroimaging), Emmanuel Vallée(University of Oxford), Diego Vidaurre(Wellcome Centre for Integrative Neuroimaging), Matthew Webster(University of Oxford), Paul J. McCarthy(Wellcome Centre for Integrative Neuroimaging), Chris Rorden(University of South Carolina), Alessandro Daducci(University of Verona), Daniel C. Alexander(University College London), Hui Zhang(University College London), Iulius Dragonu(Siemens (United Kingdom)), Paul M. Matthews(Imperial College London), Karla L. Miller(Wellcome Centre for Integrative Neuroimaging), Stephen M. Smith(University of Oxford)
NeuroImage
October 24, 2017
Cited by 1,746Open Access
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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.


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