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Rim-to-Disc Ratio Outperforms Cup-to-Disc Ratio for Glaucoma Prescreening

We present a novel and fully automated fundus image processing technique for glaucoma prescreening based on the rim-to-disc ratio (RDR). The technique accurately segments the optic disc and optic cup and then computes the RDR based on which it is possible to differentiate a normal fundus from a glau...

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Autores principales: Kumar, J. R. Harish, Seelamantula, Chandra Sekhar, Kamath, Yogish Subraya, Jampala, Rajani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6506519/
https://www.ncbi.nlm.nih.gov/pubmed/31068608
http://dx.doi.org/10.1038/s41598-019-43385-2
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author Kumar, J. R. Harish
Seelamantula, Chandra Sekhar
Kamath, Yogish Subraya
Jampala, Rajani
author_facet Kumar, J. R. Harish
Seelamantula, Chandra Sekhar
Kamath, Yogish Subraya
Jampala, Rajani
author_sort Kumar, J. R. Harish
collection PubMed
description We present a novel and fully automated fundus image processing technique for glaucoma prescreening based on the rim-to-disc ratio (RDR). The technique accurately segments the optic disc and optic cup and then computes the RDR based on which it is possible to differentiate a normal fundus from a glaucomatous one. The technique performs a further categorization into normal, moderate, or severely glaucomatous classes following the disc-damage-likelihood scale (DDLS). To the best of our knowledge, this is the first engineering attempt at using RDR and DDLS to perform glaucoma severity assessment. The segmentation of the optic disc and cup is based on the active disc, whose parameters are optimized to maximize the local contrast. The optimization is performed efficiently by means of a multiscale representation, accelerated gradient-descent, and Green’s theorem. Validations are performed on several publicly available databases as well as data provided by manufacturers of some commercially available fundus imaging devices. The segmentation and classification performance is assessed against expert clinician annotations in terms of sensitivity, specificity, accuracy, Jaccard, and Dice similarity indices. The results show that RDR based automated glaucoma assessment is about 8% to 10% more accurate than a cup-to-disc ratio (CDR) based system. An ablation study carried out considering the ground-truth expert outlines alone for classification showed that RDR is superior to CDR by 5.28% in a two-stage classification and about 3.21% in a three-stage severity grading.
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spelling pubmed-65065192019-05-21 Rim-to-Disc Ratio Outperforms Cup-to-Disc Ratio for Glaucoma Prescreening Kumar, J. R. Harish Seelamantula, Chandra Sekhar Kamath, Yogish Subraya Jampala, Rajani Sci Rep Article We present a novel and fully automated fundus image processing technique for glaucoma prescreening based on the rim-to-disc ratio (RDR). The technique accurately segments the optic disc and optic cup and then computes the RDR based on which it is possible to differentiate a normal fundus from a glaucomatous one. The technique performs a further categorization into normal, moderate, or severely glaucomatous classes following the disc-damage-likelihood scale (DDLS). To the best of our knowledge, this is the first engineering attempt at using RDR and DDLS to perform glaucoma severity assessment. The segmentation of the optic disc and cup is based on the active disc, whose parameters are optimized to maximize the local contrast. The optimization is performed efficiently by means of a multiscale representation, accelerated gradient-descent, and Green’s theorem. Validations are performed on several publicly available databases as well as data provided by manufacturers of some commercially available fundus imaging devices. The segmentation and classification performance is assessed against expert clinician annotations in terms of sensitivity, specificity, accuracy, Jaccard, and Dice similarity indices. The results show that RDR based automated glaucoma assessment is about 8% to 10% more accurate than a cup-to-disc ratio (CDR) based system. An ablation study carried out considering the ground-truth expert outlines alone for classification showed that RDR is superior to CDR by 5.28% in a two-stage classification and about 3.21% in a three-stage severity grading. Nature Publishing Group UK 2019-05-08 /pmc/articles/PMC6506519/ /pubmed/31068608 http://dx.doi.org/10.1038/s41598-019-43385-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kumar, J. R. Harish
Seelamantula, Chandra Sekhar
Kamath, Yogish Subraya
Jampala, Rajani
Rim-to-Disc Ratio Outperforms Cup-to-Disc Ratio for Glaucoma Prescreening
title Rim-to-Disc Ratio Outperforms Cup-to-Disc Ratio for Glaucoma Prescreening
title_full Rim-to-Disc Ratio Outperforms Cup-to-Disc Ratio for Glaucoma Prescreening
title_fullStr Rim-to-Disc Ratio Outperforms Cup-to-Disc Ratio for Glaucoma Prescreening
title_full_unstemmed Rim-to-Disc Ratio Outperforms Cup-to-Disc Ratio for Glaucoma Prescreening
title_short Rim-to-Disc Ratio Outperforms Cup-to-Disc Ratio for Glaucoma Prescreening
title_sort rim-to-disc ratio outperforms cup-to-disc ratio for glaucoma prescreening
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6506519/
https://www.ncbi.nlm.nih.gov/pubmed/31068608
http://dx.doi.org/10.1038/s41598-019-43385-2
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