Modern medical imaging modalities generate exquisite images of in-vivo internal anatomy. Magnetic resonance imaging (MRI), Optical Coherence Tomography (OCT) images, Positron Emission Tomography (PET) to name a few are 3D modalities that allow us to look inside the living human body and visualize structure and function. The goal of our lab is to use signal processing and computational techniques to make measurements in images, turning pictures into data. These data can be used to design classifiers for early detection of disease, to monitor the progression of a disease or to monitor the efficacy of a treatment. Our main focus is to study the brain (MRI/PET) and retina (OCT) images, and design computational imaging biomarkers using these images for the applications in dementia and glaucoma diagnosis.

The lab PI is Dr. Faisal Beg, who got his PhD in Biomedical Engineering from the Johns Hopkins University, Biomedical Engineering Program. There, he had the unique opportunity to take the first year medical school curriculum with the Johns Hopkins Class of 2001. Combining expertise in engineering methods and the knowledge gained in his medical school courses, he leads the lab that bring the power of engineering and computational methods to build translational tools for clinical utility.

Our lab is enriched through strong collaborations with neuroscientists, clinicians, computer vision experts and mathematicans from both Canada and around the world.