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Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank
Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
DOI
- https://doi.org/10.1016/j.neuroimage.2017.10.034
Final published version
- Fidel Alfaro-Almagro, University of Oxford ,
- Mark Jenkinson, University of Oxford ,
- Neal K. Bangerter, Brigham Young University ,
- Jesper L.R. Andersson, University of Oxford ,
- Ludovica Griffanti, University of Oxford ,
- Gwenaëlle Douaud, University of Oxford ,
- Stamatios N. Sotiropoulos, University of Oxford, University of Nottingham ,
- Saad Jbabdi, University of Oxford ,
- Moises Hernandez-Fernandez, University of Oxford ,
- Emmanuel Vallee, University of Oxford ,
- Diego Vidaurre
- Matthew Webster, University of Oxford ,
- Paul McCarthy, University of Oxford ,
- Christopher Rorden, University of South Carolina ,
- Alessandro Daducci, University of Verona, University Hospital Center ,
- Daniel C. Alexander, University College London ,
- Hui Zhang, University College London ,
- Iulius Dragonu, Siemens Healthcare ,
- Paul M. Matthews, Imperial College London, UK Dementia Research Institute ,
- Karla L. Miller, University of Oxford ,
- Stephen M. Smith, University of Oxford
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.
| Original language | English |
|---|---|
| Journal | NeuroImage |
| Volume | 166 |
| Pages (from-to) | 400-424 |
| Number of pages | 25 |
| ISSN | 1053-8119 |
| DOIs | |
| Publication status | Published - 1 Feb 2018 |
| Externally published | Yes |
- Big data imaging, Epidemiological studies, Image analysis pipeline, Machine learning, Multi-modal data integration, Quality control
Research areas
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