Peripapillary atrophy detection by biologically inspired feature

Peripapillary atrophy (PPA) is an atrophy of preexisting retina tissue. Because of its association with eye diseases such as myopia and glaucoma, it is important to determine the presence of PPA clinically. Experienced ophthalmologists are able to determine the presence of PPA using visual informati...

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Bibliographic Details
Main Authors: Jun Cheng, Jiang Liu, Wong, D. W. K., Ngan-Meng Tan, Cheung, C., Baskaran, M., Tien Yin Wong, Seang Mei Saw
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Atrophy
Biomedical optical imaging
Feature extraction
Image segmentation
Retina
Online Access:Request full text
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Summary:Peripapillary atrophy (PPA) is an atrophy of preexisting retina tissue. Because of its association with eye diseases such as myopia and glaucoma, it is important to determine the presence of PPA clinically. Experienced ophthalmologists are able to determine the presence of PPA using visual information from the retinal images. However, it is tedious, time consuming and subjective to examine all images especially in a screening program. This paper presents biologically inspired feature (BIF) for the automatic detection of PPA. BIF mimics the process of cortex for visual perception. In the proposed method, a focal region is segmented from the retinal image and the BIF is extracted. Experimental results show that the proposed BIF based approach achieves an accuracy of more than 90% in detecting PPA, much better than previous methods. It can be used to save the workload of ophthalmologists and thus reduce the diagnosis costs.
ISSN:1051-4651
2831-7475