Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs [ 2005-07-31 - 2008-06-30 ]

Research Grant

Researchers: Dr Pawel Podsiadlo (Chief Investigator) ,  Prof Gwidon Stachowiak (Chief Investigator)

Brief description Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs. In Australia there are 1-2 million OA sufferers, a condition that costs approximately $9 billion annually. This project will address an important problem of early detection and monitoring of OA and this remains in line with the National Research Priority 2. Potential outcomes of the project will result in better diagnosis and treatment of OA, reduced discomfort to the individual and saving to the national economy. This project will improve existing activity and rehabilitation programs such as exercise of lower limbs and it will help in developing diets for healthy people and OA sufferers.

Funding Amount $205,000

Funding Scheme Discovery Projects

View this grant in the ARC Data Portal