MSE Research Project Database

System identification of microstructure in the brain using magnetic resonance imaging


Project Leader: Leigh Johnston
Student: Warda Syeda
Primary Contact: Leigh Johnston (l.johnston@unimelb.edu.au)
Keywords: magnetic resonance imaging MRI; medical image analysis; neuroimaging; signals and systems
Disciplines: Biomedical Engineering
Domains: Convergence of engineering and IT with the life sciences
Research Centre: Neuroengineering Research Laboratory

There has been recent interest in methods that purport to identify microstructural features of the brain from diffusion-weighted magnetic resonance imaging (MRI) data.  Inference on the axonal and cellular micron scale from images of two orders of magnitude less resolution requires accurate models of the tissue geometry and membrane permeabilities.  We are applying system indentification and Bayesian analysis techniques to determine the veracity of such methods, and aim to characterise the limit of robust estimation that can be inferred from the raw MRI data.  

Ex vivo marmoset brain showing four regions of interest in corpus callosum.
test
Estimated axon diameter densities inferred from diffusion MRI data. Colours index corpus callosum regions-of-interest.
test