Automated analysis of the UK Biobank MRI data for the assessment of multi-organ involvement in disease
Motivation: To understand organ changes in multimorbidity (fibrosis in two or more organs). Goal(s): To use the MRI data in the UK Biobank (UKBB) to study multi-organ changes. Approach: An automated pipeline to analyse the UKBB kidney MRI data, including deep learning for kidney cortex and medulla segmentation from T1 maps, alongside segmentation of the liver, spleen and pancreas to assess their T1. Analysis of 500 healthy volunteers and 235 participants with kidney, pancreas and liver disease. Results: Multi-organ changes in addition to the primary diseased organ. For example, elevation in cortical T1 in kidney disease together with increased pancreatic and liver T1. Impact: The automated multi-organ analysis of abdominal MRI data to study multi-organ fibrosis. In the future, this will allow investigations related to the epidemiology, risk factors (genetic and environmental) and natural history of fibrotic multimorbidity.
Authors
- Zhendi Gong
- Eleanor Cox (ORCID: https://orcid.org/0000-0001-7899-0778)
- Gísli Jenkins (ORCID: https://orcid.org/0000-0002-7929-2119)
- Susan Francis (ORCID: https://orcid.org/0000-0003-0903-7507)
- Iain D. Stewart (ORCID: https://orcid.org/0000-0002-1340-2688)
- Martin Craig (ORCID: https://orcid.org/0000-0003-4956-4512)
- Stamatios N. Sotiropoulos (ORCID: https://orcid.org/0000-0003-4735-5776)
- Louise V. Wain (ORCID: https://orcid.org/0000-0003-4951-1867)
- Dorothee P. Auer (ORCID: https://orcid.org/0000-0002-4745-3635)
- Ali‐Reza Mohammadi‐Nejad (ORCID: https://orcid.org/0000-0002-0710-6700)
- Guruprasad Padur Aithal (ORCID: https://orcid.org/0000-0003-3924-4830)
- Xin Chen (ORCID: https://orcid.org/0000-0002-3685-0854)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/5007
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00