Image analytics, quantification and modelling
MRI is unique in probing different properties throughout the body, from anatomy and microstructure, to physiology, function and metabolism. However, MRI directly measures properties of water within tissue. Biophysical properties of interest are therefore inferred rather than measured directly. To link water properties to biophysical measures, models and image analytics workflows are needed.
Imaging Derived Phenotypes
We develop such frameworks across the whole body and brain and across domains (functional, physiological, metabolic, connectional), by developing novel modelling and non-parametric approaches (data-driven or AI). We extract quantitative markers from MRI that can be used as diagnosis biomarkers or phenotypes for an individual, in health and disease. We can also do this at population-level enabling linkage of MRI-derived features with non-imaging behavioural, clinical and genetics data. This allow us to study at scale how for instance imaging features link to symptoms in certain diseases or how anatomy and physiology change through development and aging.