Quantitative biomarkers from Magnetic Resonance Imaging

Magnetic Resonance Imaging (MRI) is the non-invasive method of choice for diagnosing and studying neurodegenerative diseases such as multiple sclerosis (MS). However, conventional MRI that is currently used in clinics cannot provide a reliable measure of neuronal health. More specifically, it cannot distinguish healthy from diseased myelin, a key component of neuronal tissue that is damaged in MS causing functional deficits such as paraplegia or decreased visual acuity. Advanced quantitative MRI (qMRI) methods such as relaxometry, diffusion MRI and magnetization transfer are sensitive to myelin changes but are rarely performed in clinics due to technical challenges, such as long acquisition times.
The goal of my internship will be to explore the potential of a novel fast quantitative MRI technique called synthetic MRI. TO BE CONT'”D

Faculty Supervisor:

Julien Cohen-Adad

Student:

Partner:

Karolinska Institute

Discipline:

Computer science

Sector:

Education

University:

Polytechnique Montréal

Program: