Advanced image processing methods for diffusion MRI
Diffusion Magnetic Resonance Imaging (MRI) provides unique insight into the microstructure of neuronal tissue, by exploiting the random motion of water molecules as they interact with that tissue.
Researchers at The Florey have historically been at the forefront of diffusion MRI methods development. Particular points of focus have been the Fixel-Based Analysis (FBA) framework, which provides statistical analysis of quantitative white matter measures in a manner that is tailored to the complex fibrous nature of the brain white matter, and methods for robust and quantitative evaluation of connectivity between grey matter regions.
Aim
- Further the capabilities of in vivo tissue microstructure analysis in neuroscience.
Using appropriate mathematical models and advanced image processing techniques enables the quantitative assessment of white matter properties and their associations with various neuroscientific effects of interest. It is also possible to utilise the estimations of fibre bundle orientations within the brain white matter to digitally reconstruct the structural connectivity between grey matter areas using tractography methods.
A student with a talent for problem solving within complex systems will have the opportunity to participate in the evolution of these methods, improving the capabilities of neuroimaging analyses worldwide and ensuring that advances in image acquisition and quality are fully utilised within state-of-the-art analysis pipelines.
Research team
Supervisors
Dr Robert Smith
Research group
Collaborators
MRtrix: Advanced tools for the analysis of diffusion MRI data
www.mrtrix.org
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