Open AccessQuantitative OCT Angiography of Retina Vessel Density for Early Glaucoma Diagnosis
Author(s) -
Nhat Tan Le,
Tan Thi Pham,
Thanh Hoan Ngo
Publication year - 2020
Publication title -
kalpa publications in engineering
Language(s) - English
Resource type - Conference proceedings
ISSN - 2515-1770
DOI - 10.29007/4n5l
Subject(s) - glaucoma , thresholding , ophthalmology , dropout (neural networks) , hessian matrix , medicine , artificial intelligence , computer science , image (mathematics) , mathematics , machine learning
Glaucoma is the leading cause of irreversible blindness worldwide. Developed recently, OCTA is a promising non-invasive eye imaging tool for glaucoma diagnosis in the early stage. This research designed a diagnosis support software based on analyzing color-density map and ROIs vessel density index on the OCTA images scanned peripapillary and macula area. Hessian-based filter and Otsu thresholding were used to detect and enhance small vessels. The program greatly detected areas of vascular dropout on glaucoma eyes.