A system for autonomous analysis of dynamic images and videos obtained from the eye
Opportunity
An innovative artificial intelligence-based model that can analyse images and videos captured from the back of the eye, and classify them based on features of the blood vessels observed.
Background
The eye is the only organ that provides direct access to its internal structure. The microvascular network of the retina, the inner light sensitive layer of the eye, is a crucial point of clinical assessment for not only eye-specific but also several brain-related diseases.
Anatomically, retinal blood vessels travel through the intracranial and intraocular space and thus, characterising any abnormalities associated with these blood vessels can provide an insight into eye or brain specific changes. Despite their clinical importance, an autonomous and objective method for characterising and extracting such features does not exist.
Our Solution
Researchers at UTS have designed and developed an all in one portable retinal imaging device that captures image/videos from the eye and then uses an AI-based framework (trained on a proprietary dataset) to extract the aforementioned microvascular features.
Potential Applications
Non-invasive estimation of intracranial pressure.
Early identification of glaucoma and monitoring its progression.
Screening for cardiovascular disease’s (e.g., atherosclerosis).
IP Status
The invention is the subject of a Provisional Patent AU2023901868.
Inventors
Assoc Prof. Mojtaba Golzan
An overview of UTS’ invented all-in-one solution. A ten second video is recorded from the back of the eye using the smartphone integrated portable device before passing onto an AI-based framework.
Contact us
If you are interested in working with our researchers to develop any of our technologies, please contact the UTS Commercialisation Team at patents@uts.edu.au.
