Abstract

The talk is focused on microstructure imaging paradigm which uses mathematical and computational modeling together with cutting-edge machine learning and parameter estimation techniques to facilitate development and application of new biomedical imaging techniques. Our primary focus is on diffusion magnetic resonance imaging (diffusion MRI ) for medicine. Specifically, our techniques enhance understanding and early detection of neurological conditions, such as Alzheimer’s diseases, other dementias, multiple sclerosis, and psychiatric disorders, and assist in the diagnosis and treatment assignment for solid cancers. The paradigm uses model-based approaches to estimate tissue features traditionally accessible only through invasive biopsy and histology. The ultimate aim is replace such procedures, which currently underpin the gold-standard diagnosis of most cancers and many neurological disorders, with non-invasive imaging.