Alfaro-Almagro, F;
Jenkinson, M;
Bangerter, NK;
Andersson, JLR;
Griffanti, L;
Douaud, G;
Sotiropoulos, SN;
... Smith, SM; + view all
(2018)
Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.
Neuroimage
, 166
pp. 400-424.
10.1016/j.neuroimage.2017.10.034.
Preview |
Text
1-s2.0-S1053811917308613-main.pdf - Published Version Download (8MB) | Preview |
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.
| Type: | Article |
|---|---|
| Title: | Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank. |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.neuroimage.2017.10.034 |
| Publisher version: | https://doi.org/10.1016/j.neuroimage.2017.10.034 |
| Language: | English |
| Additional information: | © 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/). |
| Keywords: | Big data imaging, Epidemiological studies, Image analysis pipeline, Machine learning, Multi-modal data integration, Quality control |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10039942 |
Archive Staff Only
 |
View Item |
