Abstract #3304
Clinical deployment of novel quantitative neuro-image analysis techniques using containerisation technology
James Moggridge1,2, Sjoerd Vos1,3,4, Ferran Prados3, Matthew Grech-Sollars1,3, Daniel Matthews5, Peter Schmidt5, Daniel C Alexander3, John S Duncan6, Frederik Barkhof1,3,7, Tarek A Yousry1,2, and John S Thornton1,2
1Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, United Kingdom, 2Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, London, United Kingdom, 3Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 4Centre for Microscopy, Characterisation, and Analysis, University of Western Australia, Perth, Australia, 5Advanced Research Computing Centre, University College London, London, United Kingdom, 6Department of Clinical and Experimental Epilepsy, UCL QS Institute of Neurology, London, United Kingdom, 7Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands
Synopsis
Keywords: Data Analysis, Software Tools, ContainerisationThe challenges encountered in development and clinical deployment of quantitative neuroradiological software techniques for in-house use can be overcome to some degree, through the application of a multi-disciplinary approach, and the use of containerisation. However, full life-cycle support including post-market surveillance presents a more significant obstacle.
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