Director: Julien Cohen-Adad
End of posting : 30 June 2013
Department of Electrical Engineering, NeuroPoly, Unité de Neuroimagerie Fonctionnelle, Martinos Center for Biomedical Imaging, Biomedical Science and Technologies Research Centre (GRSTB)
Context
MRI is routinely used in clinics to detect certain diseases such as multiple sclerosis or stroke. However, clinical MRI is limited due to its low sensitivity for detecting abnormalities in the white matter (axons). New MRI techniques now allow characterization of myelin from axons, and therefore provide a better diagnosis. However, these techniques require particular image processing before they can be interpreted by radiologists. The goal of this project is to develop new methods that can then be used clinically to quantify abnormalities of axons in the brain and spinal cord.
Objectives
Collaboration
This project is done in collaboration with the Functional Neuroimaging Unit (UdeM) and the Martinos Center for Biomedical Imaging (Harvard).
Conditions
Having programming skills (Matlab, C / C + +), physics, statistics, and image processing is an asset.
Funding
Possibilities of funding
How to apply?
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