Neuroimaging Methodology

The group develops novel analysis methods, particularly machine learning techniques, to extract information from brain images. There is an emphasis on creating methodology that combines multiple modalities, either multiple MRI modalities (such as structural, diffusion and functional images), or non-MRI modalities (such as CT and PET). The techniques developed include segmentation, registration, and modelling of temporal trajectories for ageing and disease.

These methods are applied to gain deeper insight and understanding of the mechanisms of healthy brain function as well as pathological changes due to neurological disease. Pathologies being examined include Alzheimer’s Disease, vascular dementia, multiple sclerosis, and stroke.