Computational problems in glaucoma diagnosis, monitoring and understanding
Project Leader: Andrew Turpin
Staff: Phillip Bedggood
Collaborators: Allison McKendrick (Optometry and Vision Science), Jonathan Crowston (Ophthalmology), Gerhard Zinser (Heidelberg Engineering),
Sponsors: ARC, Heidelberg Engineering
Primary Contact: Andrew Turpin (firstname.lastname@example.org)
Keywords: knowledge discovery; medical image analysis; neuroengineering; visual processing
Disciplines: Computing and Information Systems
Domains: Convergence of engineering and IT with the life sciences
Glaucoma is the second leading cause of blindness in Australia, and is typified by death of the optic nerve, and associated loss in visual field. This project is working on the following computational aspects of diagnosis, monitoring and modelling of the disease.
- Improved algorithms for testing the visual field.
- Constructing models of retinal nerve pathways.
- Inventing algorithms for linking medical images of the optic nerve with measures of visual function.