MRI provides overwhelming utility in the diagnosis of diseases and disorders. In the human brain, MRI is used for identifying changes, surgical planning, assessing drug efficacy and patient monitoring in relation to, for example, stroke, epilepsy and multiple sclerosis. Whilst ultra-high field MRI (7T and above) affords improved image signal-to-noise ratio, contrast and new contrast mechanisms, it does not allow data to be acquired at the microscale resolution where early and important changes due to diseases and disorders occur. It is therefore important to develop methods capable of inferring information on tissue microstructure changes based on millimetre scale MRI data to achieve more accurate and earlier diagnosis and improved monitoring. Based on this gap, we have been focusing on researching and developing MRI methods with two key components. First, define models which relate millimetre scale measurements to changes in tissue microstructure at the microscale. Second, achieve a direct relationship between a quantitative model parameter and a specific microscale change. In this talk I will introduce our model-based image analysis approaches in the contexts of diffusion-weighted imaging and gradient recalled echo MRI, and provide specific examples of how changes in tissue microstructure could potentially be measured.

About CAI Seminar Series

The perfect opportunity to attend cutting-edge research presentations involving CAI researchers or collaborators, each Tuesday at 9:30am in the CAI Seminar Room, entry via CAI main doors, facing Wep Harris oval (see map).

If you would like weekly email notification for the seminar series or are interested in presenting, please contact Maria Moran.