Research Focus
We develop new technologies then apply them vertically to help solve clinical problems with several diseases. Our research can be categorized by disease, and also by technology.
Multiple Sclerosis
An autoimmune disorder affecting 1-in-1500 people worldwide. We are developing new MRI-based markers to measure the effectiveness of new treatments in clinical trials
Stroke
The 4th leading cause of death in Canada, and the primary source of adult disability. Estimated to cost the Canadian economy $3B each year. We are developing algorithms to rapidly and reliably predict brain regions at risk during acute stroke.
Brain Cancer
Though rare, brain cancers are responsible for 2% of all cancer deaths and 20% of cancers in children. 1,000 new cases are diagnosed each year in Canada We are working on methods to predict tumor genetics and response to treatment from "texture" analysis of brain MRI.
Time Frequency Analysis
Combines Fourier and wavelet analysis to provide a complete Fourier domain around each sample in a signal or image. We are using the Stockwell transform to remove artifacts and describe texture in medical images.
Quantitative T2 Analysis
The visualization tool qT2-View allows rapid visualization of any range of T2 times, speeding up the process of viewing and identifying T2 ranges of interest, such as those ranges found in pathology. Such a visualization tool will be useful for studying heterogeneous diseases such as MS, PKU, and cancer.
Algorithms
Medical image processing and analysis. Our research is motivated by clinical need. Most of the software we develop is designed for use by clinicians to aid the diagnosis, treatment, monitoring and understanding of disease.
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