Abstract #0420
Facilitating access to neuroimaging and computational resources in low-resource settings through a centralised biomedical imaging platform
Niall J Bourke1, Jonathan O'Muircheartaigh1, Sean Deoni2, Pablo Velasco3, Doug Dean III4, Emil Ljungberg1,5, Jessica E Ringshaw6, Maclean Vokhiwa7,8, Marc Seal9, Richard Beare9, Victoria Nankabirwa10, Francesco Padormo11, Costas Tsougarakis3, Can Akgun3, Carly Bennallick12, František Váša1, Layla E Bradford6, Marlie Miles13, Michal Zieff6, Thandeka Mazubane6, Zayaan Goolam Nabi6, Simone Williams6, Yaw Mensah 14, Samuel A Oppong15, Levente Baljer1, Muriel Bruchhage16, Natasha Lepore17, Khula South Africa Data Collection Team6, Daniel Alexander18, Derek Jones19, Kirsten A Donald6, and Steven Williams1
1Department of Neuroimaging, King's College London, London, United Kingdom, 2Maternal, Newborn, and Child Health Discovery & Tools, Bill & Melinda Gates Foundation, Seattle, WA, United States, 3Flywheel, Minneapolis, MN, United States, 4Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Wisconsin, WI, United States, 5Department of Medical Radiation Physics, Lund University, Lund, Sweden, 6Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa, 7Neuroscience, Training & Research Unit of Excellence, Blantyre, Malawi, 8Kamuzu University of Health Sciences, Blantyre, Malawi, 9Developmental Imaging, Murdoch Children's Research Institute, The Royal Children's Hospital, Victoria, Australia, 10Makerere University, Kampala, Uganda, 11Hyperfine, London, United Kingdom, 12King's College London, London, United Kingdom, 13University of Cape Town, Cape Town, South Africa, 14Department of Radiology, Korle Bu Teach Hospital, Accra, Ghana, 15Department of Obstetrics and Gynecology, Korle Bu Teach Hospital, Accra, Ghana, 16Stavanger University, Stavanger, Norway, 17University of Southern California, Los Angeles, CA, United States, 18Department of Computer Science, University College London, London, United Kingdom, 19Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, United Kingdom
Synopsis
Keywords: Neuro, Low-Field MRI
Motivation: MRI remains inaccessible in many parts of the world, as are the computational resources to perform neuroimaging analysis. We hope to develop resources for a growing neuroimaging community in low-resource settings.
Goal(s): To develop scalable neuroimaging tools, building capacity across low-resource settings and supporting a community for neuroimaging research.
Approach: Partnership with Hyperfine, Flywheel and numerous collaborators in sub-Saharan Africa and south Asia to collect and process MRI scans of children in the early years of life.
Results: Containerised workflows optimised for ultra-low field paediatric imaging were developed. Derived volume estimates were generated from geographically dispersed regions for further global health questions.
Impact: Multiple low-resource sites in a global consortium have generated derived volume estimates through standardised workflows of ultra-low field MR images. This enables answering of locally relevant clinical questions on factors affecting neurodevelopment, such as maternal anaemia, HIV exposure, malnutrition etc.
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