Abstract #0416

An ultra-fast dementia diagnosis MRI protocol enabled by Wave-CAIPI

Haroon R. Chughtai^1,2, David L. Thomas^3,4, Miguel Rosa-Grilo³, Eoin Mulroy³, Millie Beament³, Will Coath³, Lloyd Prosser³, Ian Malone³, Danny Alexander⁵, Frederik Barkhof ³, Catherine J. Mummery³, Nick C. Fox³, and Geoff J. M. Parker^1,6

¹Centre for Medical Image Computing (CMIC), Medical Physics & Biomedical Engineering, UCL, London, United Kingdom, ²Advanced Research Computing (ARC) Centre, UCL, London, United Kingdom, ³Dementia Research Centre (DRC), UCL Queen Square Institute of Neurology, UCL, London, United Kingdom, ⁴Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, UCL, London, United Kingdom, ⁵Department of Computer Science, Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom, ⁶Bioxydyn Limited, Manchester, United Kingdom

Synopsis

Keywords: Data Acquisition, DementiaStructural brain imaging is vital in the diagnostic pathway for cognitive disorders and dementias, including the identification of Alzheimer’s disease. MRI is the recommended modality for this but is often not used due to long scan times and lower availability relative to CT. Reduced scan times are needed to enable more widespread adoption of MRI as a first-line modality for cognitive disorders. Our ultra-fast protocol enabled by Wave-CAIPI shows promise in reducing the diagnostic scan time for dementias from around 18 minutes to under 6 minutes whilst retaining clinical utility across several contrasts.

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