This proposal seeks to develop a novel non-invasive method of measuring intra-cranial pressure, an important diagnostic parameter in many form of brain injury or neural disease. It works by quantitative video analysis of the pulsation of the major vein in the eye during induced rises in eye pressure. Many years of study by our group have determined the relationship between vein pulsation pressure and intra-cranial pressure, and this information is used to produce an accurate measurement of intra ....This proposal seeks to develop a novel non-invasive method of measuring intra-cranial pressure, an important diagnostic parameter in many form of brain injury or neural disease. It works by quantitative video analysis of the pulsation of the major vein in the eye during induced rises in eye pressure. Many years of study by our group have determined the relationship between vein pulsation pressure and intra-cranial pressure, and this information is used to produce an accurate measurement of intra-cranial pressure without the need for surgery.Read moreRead less
Development Of A High Acuity, Diamond Retinal Prosthesis
Funder
National Health and Medical Research Council
Funding Amount
$1,010,214.00
Summary
Over recent years our team has developed a retinal implant to restore sight to people with certain types of blindness. With 256 independently controllable electrodes this device is among the most sophisticated in the world. We aim to conduct experiments to demonstrate that our device can provide improved better visual acuity than the world leaders with a view to developing a competitive commercial medical technology.
Low Cost Smart Screening System For Sight Threatening Eye Disease: Diabetic Retinopathy
Funder
National Health and Medical Research Council
Funding Amount
$529,079.00
Summary
The aim of the project is to develop an automated disease grading and clinical decision support system for diabetic retinopathy (DR) to perform eye screening by primary care providers and nurses. The grading system will automatically extract DR pathology from a patient’s color fundus images by image processing, feature detection and machine learning algorithms. Based on the detected information, the system can classify the patient as non symptom or a specific disease level.
Validating A Prototype Laser System For Intraocular Surgery
Funder
National Health and Medical Research Council
Funding Amount
$495,551.00
Summary
Intraocular surgery is a vital tool for treating common sight threatening diseases such as proliferative diabetic retinopathy and retinal vein occlusion. We seek to develop a prototype laser system to replace currently used mechanical instruments. We have demonstrated that UV laser ablation can afford much greater precision. Laser parameters for the new system will be optimised based on our previous achievements. The new system will be tested in animal trials and clinically.