TY - JOUR T1 - Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK Biobank JF - bioRxiv DO - 10.1101/130385 SP - 130385 AU - Fidel Alfaro-Almagro AU - Mark Jenkinson AU - Neal K. Bangerter AU - Jesper L. R. Andersson AU - Ludovica Griffanti AU - Gwenaƫlle Douaud AU - Stamatios N. Sotiropoulos AU - Saad Jbabdi AU - Moises Hernandez-Fernandez AU - Emmanuel Vallee AU - Diego Vidaurre AU - Matthew Webster AU - Paul McCarthy AU - Christopher Rorden AU - Alessandro Daducci AU - Daniel C. Alexander AU - Hui Zhang AU - Iulius Dragonu AU - Paul M. Matthews AU - Karla L. Miller AU - Stephen M. Smith Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/04/24/130385.abstract N2 - 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. ER -