Smarter Imaging for Everyone: Adapting AI-Based Diffusion MRI Analysis to Low-Field Scanners

This project tackles a major challenge in modern brain imaging: advanced techniques like diffusion MRI and tractography are powerful tools for studying conditions such as multiple sclerosis, dementia, and brain cancer, but they rely on expensive, high-resolution scanners that are often unavailable in routine clinical settings—especially in underserved or rural communities. These methods also struggle with lower-quality data, making them difficult to use outside of specialized research centers. To overcome this, the project will develop new AI-powered tools that can accurately analyze brain connections even from fast, low-cost MRI scans. By simulating real-world clinical conditions and leveraging state-of-the-art machine learning, this work aims to bring reliable, high-quality brain imaging within reach of more hospitals and patients, helping improve diagnosis and care for neurodegenerative diseases across Canada and beyond.

Faculty Supervisor:

Maxime Descoteaux

Student:

Partner:

Cardiff University

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Artificial Intelligence

University:

Université de Sherbrooke

Program: