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Abstract #1649

The TwinsUK MR Imaging study protocol: Brain and spine at 3T and cardiac plus whole-body at 0.55T

Rebecca E Thornley1,2, Zihan Ning1, Liane S. Canas1, Jon O Cleary1,2,3, Philippa Bridgen2,4, Pierluigi Di Cio2,4, Michela Cleri2,4, Anmol Kaushal5, Sami Jeljeli5, Pier Giorgio Masci5, Marili Niglas6, Brandon Whitcher6, Marc Modat1, Jimmy D Bell6, E Louise Thomas6, John Maynard2, Vicky Goh2,3, Amanda Isaac2, Sharon L Giles1,2, Claire J Steves2,7, Sebastien Ourselin1, Amedeo Chiribiri5, Joseph V Hajnal1, and Anthony N Price1,2
1Imaging physics and engineering department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 2Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom, 3Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom, 4London Collaborative Ultra high field System (LoCUS), King's College London, London, United Kingdom, 5Department of Cardiovascular Imaging, King's College London, London, United Kingdom, 6Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom, 7Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom

Synopsis

Keywords: Low-Field MRI, Aging, Neuro, Cardiovascular, Lung, Body composition

Motivation: TwinsUK hosts 30 years of biological data, linked with imaging this can be used to understand how lifestyle, environment and infection exposures influence organ-specific ageing and disease.

Goal(s): To develop MRI protocols at 0.55T and 3T covering the whole body, and specifically the brain, heart and liver.

Approach: A protocol, consisting of two ~45 minute sessions, was developed that was inspired by the UK Biobank but optimised to suit technological advancements, and an ultra-wide bore low-field system.

Results: Data collection is underway with >300 participants scanned so far and ~2500 participants to be scanned over five years. Dedicated analysis pipelines are under development.

Impact: This study will generate a comprehensive MRI resource in a twin cohort of ~2500 participants. Combined with biological data, this facilitates the study of ageing and has potential to lead to more personalised approaches to managing health as we age.

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Abstract

Keywords