Scientist profiles G-L

Administrative Assistant: Anzu Hara
Phone: 416-480-5712
Email: anzu.hara@sunnybrook.ca

Education:

• BASc, 2004 Engineering Science: Concentration in Biomedical, University of Toronto – Toronto, Ontario, Canada
• MASc, 2006, Biomedical Engineering, University of Toronto – Toronto, Ontario, Canada
• PhD, 2012, Biomedical Engineering, University of California, Davis – Davis, California, USA

Appointments and Affiliations:

• Affiliate scientist, Holland Bone and Joint Research Program, Physical Sciences Platform, Sunnybrook Research Institute
• Assistant Professor, Division of Orthopaedics, Department of Surgery, University of Toronto
• Assistant Professor, Institute of Biomedical Engineering, University of Toronto

Research Foci:

• Medical Image Analysis
• Biomechanics
• Spine
• Orthopaedics
• Machine learning/artificial intelligence

Research Summary:

Dr. Michael Hardisty's research integrates the frontiers of computer vision, machine learning, and biomechanics to revolutionize image-guided therapies and diagnostics for spine, musculoskeletal and oncological applications. His innovative approach combines physical and physiological systems with cutting-edge computational, data-driven and experimental methods in 3 main foci.

1. Developing ML-enabled technology for image guided therapy in the spine
2. Predicting patient outcomes with quantitative MSK imaging biomarkers derived from computer vision algorithms
3. Predicting bone biomechanical stability and damage using tissue biomechanics with ML biological system modelling, integrating multi-scale: imaging, clinical and biological data

Dr. Hardisty’s work combining imaging, tissue and blood biomarkers, and physics-based modelling with a strong focus on translation will have a transformational impact on surgical planning and teaching and how treatments are directed in spine, plastic and orthopaedic surgery. Dr. Hardisty has strong clinical and commercial collaborations that allow his group to translate innovations out of the lab and into technology that can impact the future of health care.

Selected Publications:

See current publications list at PubMed.

1. Hardisty M, Wei YT, Hontscharuk R, Ibrahimi A, Antonyshyn O, Edwards G, Mainprize JG, Whyne CM. 2023. Accuracy of Orbital Shape Reconstruction-Comparative Analysis of Errors in Implant Shape Versus Implant Positioning: A Cadaveric Study. J Craniofac Surg 34(6):1727-1731.
2. Whyne CM, Underwood G, Davidson SRH, Robert N, Huang C, Akens MK, Fichtinger G, Yee AJM, Hardisty M. 2023. Development and validation of a radiofrequency ablation treatment planning system for vertebral metastases. Int J Comput Assist Radiol Surg. Epub ahead of print. (12):2339-2347
3. Tolgyesi A, Robert N, Whyne C, Hardisty M. 2023. Enhanced µCT Imaging Protocol to Enable High-Resolution 3D Visualization of Microdamage in Rat Vertebrae. Applied Sciences 2023, 13(6), 3625
4. Kasa K, Burns D, Goldenberg MG, Selim O, Whyne C, Hardisty M. 2022. Multi-modal Deep Learning for Assessing Surgeon Technical Skill on a Surgical Knot-tying Task. Sensors 22(19):7328.

5. Clement A, Whyne C, Hardisty M. 2021. Automated Segmentation of Osteoblastic Vertebral Metastasis: A Radiomics Approach. Biomechanics and Biomedical Engineering: Imaging & Visualization, 9:6, 635-642.

Related Links:

• U of T, Division of Orthopaedic Surgery
• Holland Bone and Joint Bioengineering Lab