Neuro-Retinal Optic Cup Detection in Glaucoma Diagnosis

Glaucoma is the one of the two major causes of blindness, which can be diagnosed through measurement of neuro-retinal optic cup-to-disc ratio (CDR). Automatic calculation of optic cup boundary is challenging due to the interweavement of blood vessels with the surrounding tissues around the cup. A mu...

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Published in2009 2nd International Conference on Biomedical Engineering and Informatics pp. 1 - 4
Main Authors Zhuo Zhang, Jiang Liu, Wing Kee Wong, Ngan Meng Tan, Joo Hwee Lim, Shijian Lu, Huiqi Li, Ziyang Liang, Tien Ying Wong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Blindness
Diseases
Image segmentation
Level set
Optical computing
Optical detectors
Optical losses
Optical sensors
Pixel
Retina
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Summary:Glaucoma is the one of the two major causes of blindness, which can be diagnosed through measurement of neuro-retinal optic cup-to-disc ratio (CDR). Automatic calculation of optic cup boundary is challenging due to the interweavement of blood vessels with the surrounding tissues around the cup. A multimodality fusion approach for neuroretinal cup detection improves the accuracy of the boundary estimation. The algorithm's effectiveness is demonstrated on 71 manually segmented retina fundus images collected from Singapore Eye Research Institute. By comparing our automatic cup height measurement to ground truth, we found that our method accurately detected neuro-retinal cup height for 69 images, achieved 97.2% accuracy. The evaluation was based on a criterion that is more stringent than the clinically acceptable interor intra-observer variability. This further leads to a large clinical evaluation of the algorithm involving 15 thousand patients from Australia and Singapore.
ISBN:9781424441327
1424441323
ISSN:1948-2914
1948-2922
DOI:10.1109/BMEI.2009.5305076