Data and image analysis of arthritis progression
Project Leader: Kathryn Stok
Staff: Catherine Davey
Student: Pholpat Durongbhan
Collaborators: Andy Kin On Wong (University of Toronto)
Primary Contact: Kathryn Stok (email@example.com)
Keywords: biomechanics; biomedical engineering; imaging; mechanobiology; medical image analysis; micro-computed tomography
Disciplines: Biomedical Engineering
The aim of the research is to use clinical imaging techniques to examine progression in postmenopausal osteoarthritis patients and measure trajectories of change driving tissue remodelling.
Arthritis is a common and painful disease triggering structural and biochemical changes. Nevertheless, factors influencing changes at the interface between cartilage and bone (osteochondral interface) are not yet well understood.
The specific aims of this PhD project will therefore be to:
- Conduct in-depth image analysis into microstructures of the cartilage and bone to seek specific patterns of damage
- Assess links between fracture risk and the sex hormone estrogen
- Evaluate cartilage and bone remodelling and compare with biomarkers of disease.
This PhD project forms part of a cluster collaboration between the University of Toronto and the University of Melbourne. This PhD project will be based at the University of Toronto with a 24 month stay at the University of Melbourne. The student will be enrolled in the Collaborative Program in Musculoskeletal Sciences at the University of Toronto. They will be trained in basic sciences of bone, muscle and joint biology, image processing, seminars on other PhD students’ work in similar fields, and have opportunities to collaborate across departments.
Further information: https://toronto.research.unimelb.edu.au/2020/12/15/understanding-the-pathogenesis-of-postmenopausal-knee-osteoarthritis-at-the-subchondral-bone-and-cartilage-interface-using-mri-and-ct-imaging/