Age-related macular degeneration identification based on HRC layers analyses in OCT images
by Amel Benkhelfallah; Mahammed Messadi; Abdelhafid Bessaid; Mohammed El Amine Lazouni
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 39, No. 4, 2022

Abstract: Age-related macular degeneration (AMD) is a very dangerous disease which usually affects the eyes of people with age above 50 years. AMD is characterised by extra-cellular deposition that accumulate between the retinal pigment epithelium (RPE) and the inner collagenous layer of Bruch's membrane, causing the death of RPE cells and subsequent loss of photoreceptor cells. Optical coherence tomography (OCT) imaging technique is the powerful tool that can detect at early stage the different macular abnormalities, in view of its high-resolution cross-sectional images. The purpose of this work is to separate the healthy images from AMD OCT images by analysing and quantifying the extracted hyper reflective complex (HRC) layer using the image processing technique. The extracted layer is divided in to ten quadrants. In each sample, the number of white pixels is counted, and the mean value of these pixels is then calculated. For both the healthy and the AMD affected images, the average mean value is calculated. Based on this value, a decision rule is fixed to classify the images of interest. The proposed method showed an accuracy of 87.5%.

Online publication date: Fri, 05-Aug-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com