Computational problems in glaucoma diagnosis, monitoring and understanding

Project description

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.

  1. Improved algorithms for testing the visual field.
  2. Constructing models of retinal nerve pathways.
  3. Inventing algorithms for linking medical images of the optic nerve with measures of visual function.  

Project team

Leader: Andrew Turpin

Staff: Phillip Bedggood

Collaborators: Allison McKendrick (Optometry and Vision Science), Jonathan Crowston (Ophthalmology), Gerhard Zinser (Heidelberg Engineering),

Sponsors: ARC, Heidelberg Engineering

Other projects

Convergence of engineering and IT with the life sciences projects

Disciplines

Computing and Information Systems

Domains

Convergence of engineering and IT with the life sciences

Keywords

knowledge discovery; medical image analysis; neuroengineering; visual processing