AI-enhanced Quantitative MRI for Multi-Scale Multi-Modal Neuroscience

Project Code

MRCNMH25Ca Slator

Research Theme

Neuroscience & Mental Health

Project Summary Download

Summary

This project will develop advanced machine learning methods for medical imaging to non-invasively characterise brain tissue structure and function. The project focuses on quantitative MRI, which produces maps of biologically meaningful values, such as axon diameter, blood flow rates, and cell sizes, enabling earlier and more specific disease diagnoses. However, its clinical use is limited due to sensitivity to noise, affecting reproducibility and repeatability. This project will enhance noise robustness in quantitative MRI through new machine learning techniques, and apply them to a unique and comprehensive neuroimaging dataset to improve brain insights and advance quantitative MRI’s impact on patient care.

Lead Supervisor

Dr Paddy Slator

Lead Supervisor Email

slatorp@cardiff.ac.uk

University Affiliation

Cardiff