Facilitating access to neuroimaging and computational resources in low-resource settings through a centralised biomedical imaging platform

Abstract

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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