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Lie Algebra Image Processing Applied to Functional Brain Imaging

Project Type: 
Past

This team worked to develop a framework in 3D using lie algebra that will enable the combination of MRI, Optical and EEG imaging techniques to provide doctors with a comprehensive image of the human brain.

Project Leader(s): 

Dr. Jiri Patera, Université de Montréal

The development of new biomedical imaging techniques has resulted in significantly better tools for doctors and scientists to image humans and animals in-vivo. Technological developments and new types of imagers with more capabilities are revolutionizing the field. Currently, available technologies for brain imaging include Magnetic Resonance Imaging (MRI), functional MRI, Diffuse Optical Tomography (DOT), Electro-Encephalography (EEG) and Magneto-Encephalography. When taken individually, each of these techniques have strengths and weaknesses and each has access to different physiological components in the brain. Thus, this team worked to develop a framework in 3D using lie algebra that will enable the combination of MRI, Optical and EEG imaging techniques to provide doctors with a comprehensive image of the human brain. This project ended in 2008.

Project team: 
Dr. F. Lesage, École Polytechnique de Montréal
Dr. Hongmei Zhu, York University
Funding period: 
October 1, 2021 - March 31, 2021