FEIT Research Project Database

Digital image processing of arthritis progression


Project Leader: Kathryn Stok
Student: Pholpat Durongbhan
Primary Contact: Kathryn Stok (kathryn.stok@unimelb.edu.au)
Keywords: biomechanics; biomedical engineering; imaging; mechanobiology; micro-computed tomography
Disciplines: Biomedical Engineering
Domains:

The aim of the research is to develop methods to evaluate data from in vivo longitudinal contrast enhanced micro-computed tomography to investigate mechanisms driving remodelling due to arthritis.

Arthritis is a common and painful disease triggering structural and mechanical 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:

  1. Develop image analysis and registration methods to determine osteochondral remodelling during arthritis progression
  2. Develop computational models to describe tissue mechanics with arthritis
  3. Combine osteochondral remodelling image analysis with computational modelling to evaluate how arthritis progresses at the osteochondral interface.

Further information: https://biomedical.eng.unimelb.edu.au/integrative-cartilage/student-projects

MicroCT image of mouse knee
test