A5008254851- Surgical Simulation and Training
- Augmented Reality Applications
- Anatomy and Medical Technology
- Traumatic Brain Injury Research
- Advanced Neuroimaging Techniques and Applications
- Soft Robotics and Applications
- Meta-analysis and systematic reviews
- Heart Rate Variability and Autonomic Control
- Advanced MRI Techniques and Applications
- Radiation Dose and Imaging
- Ultrasound in Clinical Applications
- Functional Brain Connectivity Studies
- Sport Psychology and Performance
- Virtual Reality Applications and Impacts
University of Toronto
2021-2023
McMaster University
2018-2023
St. Joseph’s Healthcare Hamilton
2022-2023
Sunnybrook Health Science Centre
2021-2022
Health Sciences Centre
2021-2022
By aligning virtual augmentations with real objects, optical see-through head-mounted display (OST-HMD)-based augmented reality (AR) can enhance user-task performance. Our goal was to compare the perceptual accuracy of several visualization paradigms involving an adjacent monitor, or Microsoft HoloLens 2 OST-HMD, in a targeted task, as well assess feasibility displaying imaging-derived models aligned injured porcine heart. With 10 participants, we performed user study quantify and accuracy,...
Ultrasound education traditionally involves theoretical and practical training on patients or simulators; however, difficulty accessing equipment during the COVID-19 pandemic has highlighted need for home-based systems. Due to prohibitive cost of ultrasound probes, few medical students have access required at home training. Our proof concept study focused development assessment technical feasibility performance an at-home solution teach basics interpreting generating data. The relies...
Introduction: Concussive and sub-concussive blows are commonly sustained during contact sports. Through a detailed neuroimaging analysis, this pilot study aimed to determine if history of sport-related concussions exacerbated cognitive decline later in life. It was hypothesized that clinical health assessments magnetic resonance imaging (MRI) techniques would provide insight into lasting well-being, structural, microstructural, functional alterations caused by concussive injuries. Materials...
This brain imaging study examined subjects with a history of repetitive concussive and sub-concussive impacts sustained over the course their careers in Canadian Football League (CFL). We hypothesized that microstructural functional abnormalities, assessed using diffusion tensor (DTI) resting state magnetic resonance (rsfMRI) respectively, would be present these retired athletes, are not matched controls. Seventeen aging, CFL players (aged 58.5±6.2y, ranged 45–66) completed three...
3D PCASL scans were acquired for seventeen aging, retired professional football players with a history of head traumas. Left, right and bilateral CBF ASL spatial coefficient variation (sCoV) values examined twelve concussion-related ROIs. A Z-scoring approach was applied, outliers defined as mild, moderate, or severe injury burden (IB). An IB symmetry index also calculated. Outliers detected in all 12 ROIs, the anterior parahippocampal gyrus inferior frontal pars opercularis had highest sCoV...
The success or failure of modern computer-assisted surgery procedures hinges on the precise six-degree-of-freedom (6DoF) position and orientation (pose) estimation tracked instruments tissue. In this paper, we present HMD-EgoPose, a single-shot learning-based approach to hand object pose demonstrate state-of-the-art performance benchmark dataset for monocular red-green-blue (RGB) 6DoF marker-less surgical instrument tracking. Further, reveal capacity our HMD-EgoPose framework performant...
We present SurgeonAssist-Net: a lightweight framework making action-and-workflow-driven virtual assistance, for set of predefined surgical tasks, accessible to commercially available optical see-through head-mounted displays (OST-HMDs). On widely used benchmark dataset laparoscopic workflow, our implementation competes with state-of-the-art approaches in prediction accuracy automated task recognition, and yet requires 7.4x fewer parameters, 10.2x floating point operations per second (FLOPS),...