Automatic detection of the optic cup using vessel kinking in digital retinal fundus images

Damon, Wong Wing Kee; Liu, Jiang; Meng, Tan Ngan; Yin, Fei; Yin, Wong Tien

doi:10.1109/isbi.2012.6235893

Cited by 25 publications

(13 citation statements)

References 10 publications

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“…Another system for automatic detection of the optic cup proposed by Damon et al [ 66 ] is based on vessel kinking ( Figure 20 ). To detect the kinks, first the vessels must be detected.…”

Section: Segmentation Approachesmentioning

confidence: 99%

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Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey

Almazroa

Burman

Raahemifar

et al. 2015

Journal of Ophthalmology

192

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Glaucoma is the second leading cause of loss of vision in the world. Examining the head of optic nerve (cup-to-disc ratio) is very important for diagnosing glaucoma and for patient monitoring after diagnosis. Images of optic disc and optic cup are acquired by fundus camera as well as Optical Coherence Tomography. The optic disc and optic cup segmentation techniques are used to isolate the relevant parts of the retinal image and to calculate the cup-to-disc ratio. The main objective of this paper is to review segmentation methodologies and techniques for the disc and cup boundaries which are utilized to calculate the disc and cup geometrical parameters automatically and accurately to help the professionals in the glaucoma to have a wide view and more details about the optic nerve head structure using retinal fundus images. We provide a brief description of each technique, highlighting its classification and performance metrics. The current and future research directions are summarized and discussed.

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“…Another system for automatic detection of the optic cup proposed by Damon et al [ 66 ] is based on vessel kinking ( Figure 20 ). To detect the kinks, first the vessels must be detected.…”

Section: Segmentation Approachesmentioning

confidence: 99%

“…The algorithm was tested on 67 images from the SERI. Figure 25 shows flowchart for algorithm proposed in [ 66 ].…”

Section: Segmentation Approachesmentioning

confidence: 99%

Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey

Almazroa

Burman

Raahemifar

et al. 2015

Journal of Ophthalmology

192

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“…The vessels change the direction abruptly at optic disc-cup junction causing bends. Therefore locating bends can be used to segment out the optic cup [12]. …”

Section: Optic Cup Segmentationmentioning

confidence: 99%

A novel method for glaucoma detection using optic disc and cup segmentation in digital retinal fundus images

Jose¹,

Balakrishnan²

2015

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

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Retinal fundus photographs has always remained the gold standard for evaluating the changes in retina. Here, a novel method for automatic glaucoma detection from digital retinal fundus images is proposed. The methodology makes useof optic disc and cup segmentation. Optic disc is segmented using morphological operations and hybrid level-set methodology. Optic cup is segmented by first detecting blood vessels using SVM classifier and then the bending points on the circum linear vessels. Parameters such as vertical cup-to-disc ratio (CDR), cupto-disc area ratio are calculated and used for glaucoma detection. A CDR value greater than 0.5 and cup-to-disc area ratio greater than 0.3indicates the presence of glaucoma. The proposed method is found to produce a mean error as low as 0.021 (CDR) when compared with expert observation.

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“…Therefore, vessels usually bending at optic cup boundary. This characteristic of eye anatomy can be used to detecting optic cup boundary [11]. Blue circles in Fig.…”

Section: Optic Cup Segmentationmentioning

confidence: 99%

Glaucoma screening using rim width based on ISNT rule

Ruengkitpinyo

Kongprawechnon

Kondo

et al. 2015

2015 6th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES)

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This paper introduces an screening method for detecting glaucoma using rim width indicator. Due to some special cases, such as myopia eye, only cup-to-disc ratio may not efficient for screening glaucoma. Rim width based on ISNT rule can be a feature for classification. Rim width in each section of optic nerve will be measured and then we compare them with ISNT rule for glaucoma classification. According to our results, we can show that the proposed method is an efficient feature for screening glaucoma.

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Automatic detection of the optic cup using vessel kinking in digital retinal fundus images

Cited by 25 publications

References 10 publications

Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey

Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey

A novel method for glaucoma detection using optic disc and cup segmentation in digital retinal fundus images

Glaucoma screening using rim width based on ISNT rule

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