Optic disc segmentation for glaucoma screening system using fundus images
Ahmed Almazroa,1,2 Weiwei Sun,3 Sami Alodhayb,4 Kaamran Raahemifar,5 Vasudevan Lakshminarayanan6 1King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia; 2Ophthalmology and Visual Science Department, University of Michigan, Ann Arbor, MI, USA; 3School of Resource and Envi...
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ftdoajarticles:oai:doaj.org/article:f3fce1e78cad478f942dc04dc0f0d7d9 2023-05-15T18:13:32+02:00 Optic disc segmentation for glaucoma screening system using fundus images Almazroa A Sun W Alodhayb S Raahemifar K Lakshminarayanan V 2017-11-01T00:00:00Z https://doaj.org/article/f3fce1e78cad478f942dc04dc0f0d7d9 EN eng Dove Medical Press https://www.dovepress.com/optic-disc-segmentation-for-glaucoma-screening-system-using-fundus-ima-peer-reviewed-article-OPTH https://doaj.org/toc/1177-5483 1177-5483 https://doaj.org/article/f3fce1e78cad478f942dc04dc0f0d7d9 Clinical Ophthalmology, Vol Volume 11, Pp 2017-2029 (2017) Optic disc image segmentation RIGA dataset glaucoma level set image inpainting Ophthalmology RE1-994 article 2017 ftdoajarticles 2022-12-31T09:23:42Z Ahmed Almazroa,1,2 Weiwei Sun,3 Sami Alodhayb,4 Kaamran Raahemifar,5 Vasudevan Lakshminarayanan6 1King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia; 2Ophthalmology and Visual Science Department, University of Michigan, Ann Arbor, MI, USA; 3School of Resource and Environmental Sciences, Wuhan University, Wuchang, Wuhan, Hubei, China; 4Bin Rushed Ophthalmic Center, Riyadh, Saudi Arabia; 5Department of Electrical and Computer Engineering, University of Ryerson, Toronto, ON, 6School of Optometry, University of Waterloo, ON, Canada Abstract: Segmenting the optic disc (OD) is an important and essential step in creating a frame of reference for diagnosing optic nerve head pathologies such as glaucoma. Therefore, a reliable OD segmentation technique is necessary for automatic screening of optic nerve head abnormalities. The main contribution of this paper is in presenting a novel OD segmentation algorithm based on applying a level set method on a localized OD image. To prevent the blood vessels from interfering with the level set process, an inpainting technique was applied. As well an important contribution was to involve the variations in opinions among the ophthalmologists in detecting the disc boundaries and diagnosing the glaucoma. Most of the previous studies were trained and tested based on only one opinion, which can be assumed to be biased for the ophthalmologist. In addition, the accuracy was calculated based on the number of images that coincided with the ophthalmologists’ agreed-upon images, and not only on the overlapping images as in previous studies. The ultimate goal of this project is to develop an automated image processing system for glaucoma screening. The disc algorithm is evaluated using a new retinal fundus image dataset called RIGA (retinal images for glaucoma analysis). In the case of low-quality images, a double level set was applied, in which the first level set was considered to be localization for the OD. Five hundred and fifty images are used to test the ... Article in Journal/Newspaper sami Directory of Open Access Journals: DOAJ Articles Canada |
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Directory of Open Access Journals: DOAJ Articles |
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language |
English |
topic |
Optic disc image segmentation RIGA dataset glaucoma level set image inpainting Ophthalmology RE1-994 |
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Optic disc image segmentation RIGA dataset glaucoma level set image inpainting Ophthalmology RE1-994 Almazroa A Sun W Alodhayb S Raahemifar K Lakshminarayanan V Optic disc segmentation for glaucoma screening system using fundus images |
topic_facet |
Optic disc image segmentation RIGA dataset glaucoma level set image inpainting Ophthalmology RE1-994 |
description |
Ahmed Almazroa,1,2 Weiwei Sun,3 Sami Alodhayb,4 Kaamran Raahemifar,5 Vasudevan Lakshminarayanan6 1King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia; 2Ophthalmology and Visual Science Department, University of Michigan, Ann Arbor, MI, USA; 3School of Resource and Environmental Sciences, Wuhan University, Wuchang, Wuhan, Hubei, China; 4Bin Rushed Ophthalmic Center, Riyadh, Saudi Arabia; 5Department of Electrical and Computer Engineering, University of Ryerson, Toronto, ON, 6School of Optometry, University of Waterloo, ON, Canada Abstract: Segmenting the optic disc (OD) is an important and essential step in creating a frame of reference for diagnosing optic nerve head pathologies such as glaucoma. Therefore, a reliable OD segmentation technique is necessary for automatic screening of optic nerve head abnormalities. The main contribution of this paper is in presenting a novel OD segmentation algorithm based on applying a level set method on a localized OD image. To prevent the blood vessels from interfering with the level set process, an inpainting technique was applied. As well an important contribution was to involve the variations in opinions among the ophthalmologists in detecting the disc boundaries and diagnosing the glaucoma. Most of the previous studies were trained and tested based on only one opinion, which can be assumed to be biased for the ophthalmologist. In addition, the accuracy was calculated based on the number of images that coincided with the ophthalmologists’ agreed-upon images, and not only on the overlapping images as in previous studies. The ultimate goal of this project is to develop an automated image processing system for glaucoma screening. The disc algorithm is evaluated using a new retinal fundus image dataset called RIGA (retinal images for glaucoma analysis). In the case of low-quality images, a double level set was applied, in which the first level set was considered to be localization for the OD. Five hundred and fifty images are used to test the ... |
format |
Article in Journal/Newspaper |
author |
Almazroa A Sun W Alodhayb S Raahemifar K Lakshminarayanan V |
author_facet |
Almazroa A Sun W Alodhayb S Raahemifar K Lakshminarayanan V |
author_sort |
Almazroa A |
title |
Optic disc segmentation for glaucoma screening system using fundus images |
title_short |
Optic disc segmentation for glaucoma screening system using fundus images |
title_full |
Optic disc segmentation for glaucoma screening system using fundus images |
title_fullStr |
Optic disc segmentation for glaucoma screening system using fundus images |
title_full_unstemmed |
Optic disc segmentation for glaucoma screening system using fundus images |
title_sort |
optic disc segmentation for glaucoma screening system using fundus images |
publisher |
Dove Medical Press |
publishDate |
2017 |
url |
https://doaj.org/article/f3fce1e78cad478f942dc04dc0f0d7d9 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
sami |
genre_facet |
sami |
op_source |
Clinical Ophthalmology, Vol Volume 11, Pp 2017-2029 (2017) |
op_relation |
https://www.dovepress.com/optic-disc-segmentation-for-glaucoma-screening-system-using-fundus-ima-peer-reviewed-article-OPTH https://doaj.org/toc/1177-5483 1177-5483 https://doaj.org/article/f3fce1e78cad478f942dc04dc0f0d7d9 |
_version_ |
1766186100340031488 |