Neuroimaging and Neuroinformatics

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• Human hunger and satiety
• Manganese MRI
• Model-based MRI Processing
• Wavelet Bootstrapping

Model-based Magnetic Resonance Image Processing

Dr. Leigh Johnston
Email: leigh.johnston(at)florey.edu.au

This project concerns the development of model-based image processing methods for Magnet Resonance Imaging (MRI) analyses. Model-based approaches concern the formation of generative models derived from MRI data and tailored to the specific research question, rather than the application of heuristic, non-specific image processing procedures. Model-based techniques, derived via biologically meaningful mechanisms, will provide robust and accurate analysis algorithms to be used in current studies undertaken by the Neuroimaging and Neuroinformatics group, such as translational research in Huntington's disease and Multiple Sclerosis.