Detection of Glaucoma Using Cup to Disc Ratio From Spectral Domain Optical Coherence Tomography Images

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dc.contributor.author Tehmina Khalil
dc.contributor.author M. Usman Akram
dc.contributor.author Amina Jameel
dc.contributor.author Hina Raja
dc.date.accessioned 2018-08-08T06:46:55Z
dc.date.available 2018-08-08T06:46:55Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/123456789/7175
dc.description.abstract Glaucoma is an asymptomatic neurological disease. It causes damage to optic nerve due to increased uid pressure within eyes. In the proposed system, cup-to-disc-ratio has been computed considering internal layers of the retina using spectral-domain optical coherence tomography images. In the cupdiameter- calculation process, cup contour has been extracted from inner-limiting-membrane (ILM) layer. The paper introduces a new method to improve the precision of the ILM-layer extraction. It also employs a novel technique to re ne contour of an ILM layer. The novel method has outperformed interpolation and Bezier curve tting in term of outliers' removal and surface re nement. In the disc-diameter-calculation process, the retinal-pigment-epithelium (RPE) layer end points have been used to de ne disc margin. Prior to RPE-layer extraction, ILM-Layer removal has been done by an innovative strategy to locate and remove ILM-layer. Finally, precise RPE-layer extraction has been done based on the novel thickness-value (TV) estimation method. Furthermore, a new criterion for cup edges determination, based on the mean value of RPE-layer end points, is proposed. The proposed system has shown a clear precedence over its contemporary systems in terms of accuracy and handling of acute cases. Satisfactory results have been obtained when compared with the clinical results. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries ;10.1109/ACCESS.2018.2791427
dc.subject Computer Engineering en_US
dc.title Detection of Glaucoma Using Cup to Disc Ratio From Spectral Domain Optical Coherence Tomography Images en_US
dc.type Article en_US


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