Hyperpolarized 129Xe Cerebral Perfusion MRI Imaging Development – Year two

Imaging of cerebral perfusion (the delivery of blood to a capillary bed in the brain tissue) is significant for diagnosing a variety of diseases. There are multiple challenges associated with perfusion imaging which significantly limits the quality of cerebral perfusion images. I am planning to develop a novel approach of cerebral perfusion magnetic resonance imaging […]

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Sensory Disinhibition, Cognitive Flexibility and the Neural Correlates Underlying Post-Traumatic Stress Disorder (PTSD): A Simultaneous EEG-fMRI Study

Individuals with post-traumatic stress disorder (PTSD) often struggle to relax, or simply be at ‘rest.’ In particular, recent research has revealed participants with PTSD show hyper-activity across the visual cortex while at rest. Referred to as sensory hyper-activity and disinhibition, altered resting-state patterns are thought to be underlying hypervigilance and re-living sensations clinically, as well […]

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Multi-scale Image integration for Surgical Guidance

During surgery, a neurosurgeon must refer to three levels of image information: macroscopic from the patient’s MRI or CT, providing anatomical context of the surgical target; mesoscopic information from a surgical microscope or exoscope providing a highly magnified view of the region surrounding the surgical target; and the most important microscopic information provided by histology […]

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Multi-scale Image integration for Surgical Guidance – Year two

During surgery, a neurosurgeon must refer to three levels of image information: macroscopic from the patient’s MRI or CT, providing anatomical context of the surgical target; mesoscopic information from a surgical microscope or exoscope providing a highly magnified view of the region surrounding the surgical target; and the most important microscopic information provided by histology […]

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Software quality monitoring using AI/ML techniques

This project aims at employing AI and machine learning techniques to monitor and improve software quality. The quality of the system is to be measured by several metrics including the number of existing software defects, the normal/abnormal behavior of the system, test quality, test coverage, etc. The project focuses on studying historical data and trends […]

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CuO/ZnO electro-catalysts for CO2 electro-reduction.

Electrochemical carbon dioxide recycling offers an attractive approach to the synthesis of fuels and chemical feedstocks using renewable energy. However, fundamental and applied science hurdles remain on the path to the deployment of this technology. Integrating catalytic design and mechanistic understanding will lead to scientific insights and advance the technology towards industrial relevance. Catalysts must […]

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Supporting adolescent athletes through a team building and mental health program

Canadian adolescent athletes suffer many mental health challenges such as hyper competitiveness and a culture of silence which often precludes individuals from discussing mental health issues. These challenges have been compounded by the COVID-19 pandemic. Team Unbreakable (the partner organization) have run a highly successful physical activity and mental health program which is implemented through […]

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Supporting adolescent athletes through a team building and mental health program – Year two

Canadian adolescent athletes suffer many mental health challenges such as hyper competitiveness and a culture of silence which often precludes individuals from discussing mental health issues. These challenges have been compounded by the COVID-19 pandemic. Team Unbreakable (the partner organization) have run a highly successful physical activity and mental health program which is implemented through […]

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Real-time electromagnetic navigation of oral cancer resection

Breast?conserving surgery (BCS) is a mainstay in breast cancer treatment. For nonpalpable breast cancers, current strategies have limited accuracy, contributing to high tumor-positive margin rates. Perk-Lab developed NaviKnife, a surgical navigation system based on real?time electromagnetic (EM) tracking. The goal of the research project is to confirm the further feasibility of intraoperative EM navigation in […]

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Advanced Analytical Techniques integrated with Machine Learning for Proactive Raw material Characterization for Vaccine Production – Year two

Over the last several decades, challenges in the development, production, supply, and use of vaccines have been raised and by consequence had led to increasing concern around the world. As a result, an increase in research and innovation in the vaccine industry is needed. In this sense, one of the most critical factors in the […]

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3D spine imaging using tracked ultrasound and artificial intelligence

Obtaining accurate images of the spine is important for different medical purposes. For example, to measure how deformed the spine is in patients with scoliosis and select the most suitable treatment. Images can also be used to guide a clinician while inserting a needle to reach a exact location in the spine to administer anesthesia. […]

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