Julien Cohen-Adad

Canada Research Chair in Quantitative Magnetic Resonance Imaging

Tier 2 - 2015-10-01
Renewed: 2020-10-01
Polytechnique Montréal
Natural Sciences and Engineering Research Council

514-340-5121, ext. 2264

Research involves

Developing novel hardware and image analysis methods so clinicians can see more detail on MRIs of the brain and spinal cord.

Research relevance

This research will improve our knowledge of neurodegenerative diseases and provide the pharmaceutical industry with better tools for assessing the efficacy of new drugs.

Research summary

A magnetic resonance imaging (MRI) system contains a powerful magnet that allows clinicians to see inside the body. The magnet is usually three teslas in size (a tesla is the unit used to measure the strength of a magnetic field). MRI systems with seven teslas have recently been introduced. These advanced MRIs can help clinicians detect subtle pathologies that traditional systems can’t see, such as tiny yet destructive multiple sclerosis lesions. The problem is that these powerful systems are much more difficult to use “out of the box” and require highly experienced operators.

As Canada Research Chair in Quantitative Magnetic Resonance Imaging, Dr. Julien Cohen-Adad aims to develop innovative, critical hardware and software so that this technological marvel can become a standard tool for radiologists. He and his research team hope that by making seven-tesla MRI systems easier to use, their research will enable earlier disease detection and diagnosis, improving patients’ health outcomes.