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Abstract
UK Biobank is a population-based cohort of half a million participants aged 40–69 years recruited between 2006 and 2010. In 2014, UK Biobank started the world’s largest multi-modal imaging study, with the aim of re-inviting 100,000 participants to undergo brain, cardiac and abdominal magnetic resonance imaging, dual-energy X-ray absorptiometry and carotid ultrasound. The combination of large-scale multi-modal imaging with extensive phenotypic and genetic data offers an unprecedented resource for scientists to conduct health-related research. This article provides an in-depth overview of the imaging enhancement, including the data collected, how it is managed and processed, and future directions.
Between 2014 and 2023, 100,000 UK Biobank participants are undergoing brain, heart and abdominal MRI, as well as DXA and carotid ultrasound scans. In this review, authors provide a detailed overview of the rationale for the collection of these imaging data, the procedures of data collection and management, and the future directions of the UK biobank imaging enhancement.
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1 University of Oxford, Nuffield Department of Population Health, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948)
2 University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988); New Royal Infirmary of Edinburgh, Department of Clinical Radiology, Edinburgh, UK (GRID:grid.418716.d) (ISNI:0000 0001 0709 1919)
3 UK Biobank Coordinating Centre, Stockport, UK (GRID:grid.421945.f) (ISNI:0000 0004 0396 0496)
4 University of Oxford, Centre for Functional MRI of the Brain, Wellcome Centre for Integrative Neuroimaging, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948)
5 University of Westminster, Research Centre for Optimal Health, London, UK (GRID:grid.12896.34) (ISNI:0000 0000 9046 8598)
6 Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK (GRID:grid.498025.2)
7 Department of Cardiovascular Sciences and Electrical Engineering, KU Leuven, Leuven, Belgium (GRID:grid.5596.f) (ISNI:0000 0001 0668 7884); University of Leeds, CISTIB Centre for Computational Imaging and Simulation Technologies in Biomedicine, Schools of Computing and Medicine, Leeds, UK (GRID:grid.9909.9) (ISNI:0000 0004 1936 8403)
8 University of Southampton, MRC Lifecourse Epidemiology Unit, Southampton, UK (GRID:grid.5491.9) (ISNI:0000 0004 1936 9297)
9 University of Oxford, Radcliffe Department of Medicine, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948)
10 Queen Mary University of Medicine, William Harvey Research Institute, London, UK (GRID:grid.4868.2) (ISNI:0000 0001 2171 1133)
11 University of Oxford, Nuffield Department of Population Health, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948); UK Biobank Coordinating Centre, Stockport, UK (GRID:grid.421945.f) (ISNI:0000 0004 0396 0496)
12 University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)
13 Imperial College London and UK Dementia Research Institute, Department of Brain Sciences, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111)