Advanced sampling and processing for diffusion magnetic resonance imaging

The Project aims to develop optimal, efficient and robust signal processing methods for diffusion magnetic resonance imaging (dMRI) with significantly reduced scan times, consistent with what patients can actually tolerate. The novel processing methods will exploit spherical geometries, which encode information about white matter fibres in the brain, for collection and reconstruction of images. The Project will advance engineering knowledge in a multi-disciplinary young field and will crucially accelerate the data collection/processing pipeline while maintaining high fidelity reconstruction. Non-invasive and inexpensive early detection of many neurological disorders such as dementia are expected to become feasible via Team's findings.