System identification of microstructure in the brain using magnetic resonance imaging

Project description

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.  

Project team

Leader: Leigh Johnston

Students: Warda Syeda

Other projects

Convergence of engineering and IT with the life sciences projects

Research Centre

Neuroengineering Research Laboratory


Biomedical Engineering


Convergence of engineering and IT with the life sciences


magnetic resonance imaging MRI; medical image analysis; neuroimaging; signals and systems