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Abstract #3765

UKRIN Kidney Analysis Toolbox (UKAT): A Framework for Harmonized Quantitative Renal MRI Analysis

Alexander J Daniel1, Fabio Nery2, João Sousa3, Charlotte E Buchanan1, Hao Li4, Andrew N Priest4,5, Steven Sourbron3, David L Thomas6,7,8, and Susan T Francis1
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Great Ormond Street Institute of Child Health, University College London, London, United Kingdom, 3Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 4Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 5Department of Radiology, Addenbrooke’s Hospital, Cambridge, United Kingdom, 6Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 7Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 8Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom

Multicentre validation studies are key to the clinical translation of renal MRI and as such, the development of harmonised, cross vendor protocols is crucial. To process data acquired from these protocols, the UK Renal Imaging Network Kidney Analysis Toolbox (UKAT) has been developed. This open-source, vendor agnostic and easy to use Python package can be used for image registration, field mapping, relaxometry and diffusion mapping. UKATs combination of robust software, documented methodological decisions and easy to follow tutorials means we envisage this as a useful tool for the renal and abdominal imaging community.

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