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A Threshold based Algorithm to Detect Peripapillary Atrophy for Glaucoma Diagnosis

by Jahin Majumdar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 126 - Number 12
Year of Publication: 2015
Authors: Jahin Majumdar
10.5120/ijca2015906230

Jahin Majumdar . A Threshold based Algorithm to Detect Peripapillary Atrophy for Glaucoma Diagnosis. International Journal of Computer Applications. 126, 12 ( September 2015), 1-5. DOI=10.5120/ijca2015906230

@article{ 10.5120/ijca2015906230,
author = { Jahin Majumdar },
title = { A Threshold based Algorithm to Detect Peripapillary Atrophy for Glaucoma Diagnosis },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 126 },
number = { 12 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume126/number12/22601-2015906230/ },
doi = { 10.5120/ijca2015906230 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:17:14.296358+05:30
%A Jahin Majumdar
%T A Threshold based Algorithm to Detect Peripapillary Atrophy for Glaucoma Diagnosis
%J International Journal of Computer Applications
%@ 0975-8887
%V 126
%N 12
%P 1-5
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The presence of a Peripapillary Atrophy (PPA) is one of the conditions for Glaucoma to develop. This paper is divided into three parts. The first part of this paper describes the terminology related to the diagnosis of glaucoma. The second part of this paper describes various existing algorithms to detect and segment human PPA from a digital fundus retinal image. The paper compares the performances and contrasts the various shortcomings of these described algorithms. The third part of this paper proposes a threshold-based algorithm to detect the PPA of a human eye to aid the diagnosis of Glaucoma. The proposed algorithm calculates the Red by Green ratio for each pixel in the Region of Interest (ROI) and segments the Optic Disc (OD) from the PPA, having different pixel ratios. The algorithm can be further improved by applying sub-algorithms of false region elimination. The proposed algorithm should, theoretically, overcome most of the problems faced by the described algorithms.

References
  1. H. A. Quigley, “Number of people with glaucoma worldwide,” The British Journal of Ophthalmology, vol. 80, pp. 389-393, 1996.
  2. P. J. Evans, “The Underlying Cause of Glaucoma,” The British Journal of Ophthalmology, pp. 745-783, 1939.
  3. P. Singh, “Tonometry: An Overview,” IOSR Journal of Dental and Medical Sciences, vol. 13, Issue 1, Ver. 1, pp. 67-70, 2014.
  4. A. Colebrander, “Principles of ophthalmoscopy.” In: Tasman W, Jaeger EA, eds. Duane's Ophthalmology.
  5. U. Schiefer, J. Pätzold, F. Dannheim, P. Artes, W. Hart, “Conventional Perimetry Part I: Introduction – Basic Terms,” Der Opthalmologe, pp. 627-646, 2005.
  6. P. Singh, M. Tyagi, Y. Kumar, K. Kuldeep and P. Sharma, "Gonioscopy: A Review," Open Journal of Ophthalmology, Vol. 3 No. 4, 2013, pp. 118-121.
  7. C. Muramatsu, T. Nakagawa, A. Sawada, Y. Hatanaka, T. Hara, T. Yamamoto, and H. Fujita, “Determination of cup and disc ratio of optical nerve head for diagnosis of glaucoma on stereo retinal fundus image pairs,” Proceedings SPIE Medical Imaging, vol. 7260, pp. 72603L-1-8, 2009.
  8. Y. Hatanaka, A. Noudo, C. Muramatsu, A. Sawada, T. Hara, T. Yamamoto, and H. Fujita, “Vertical cup-to-disc ratio measurement for diagnosis of glaucoma on fundus images,” Proceedings SPIE Medical Imaging, vol. 7624, pp. 76243C-1-8, 2010.
  9. C. Muramatsu, Y. Hatanaka, A. Sawada, T. Yamamoto, H. Fujita, “Computerized Detection of Peripapillary Chorioretinal Atrophy by Texture Analysis,” 33rd Annual International Conference of the IEEE EMBS, August 30 - September 3, 2011.
  10. J. Cheng, J. Liu, D. W. K. Wong, F. Yin, C. Cheung, M. Baskaran, T. Aung, T. Y. Wong, “Automatic Optic Disc Segmentation with Peripapillary Atrophy Elimination,” 33rd Annual International Conference of the IEEE EMBS, August 30 - September 3, 2011.
  11. J. Cheng, J. Liu, D.W.K. Wong, N. Tan, C. Cheung, M. Baskaran, T. Y. Wong, Seang Mei Saw, "Peripapillary atrophy detection by biologically inspired feature," Pattern Recognition (ICPR), 2012 21st International Conference on, vol., no., pp.53,56, 11-15 Nov. 2012.
  12. J. Cheng, D. Tao, J. Liu, D. W. K. Wong, N. Tan, T. Y. Wong, S. M. Saw, "Peripapillary Atrophy Detection by Sparse Biologically Inspired Feature Manifold," Medical Imaging, IEEE Transactions on, vol.31, no.12, pp.2355,2365, Dec. 2012.
  13. J. B. Jonas, M. C. Fernández, “Shape of the neuroretinal rim and position of the central retinal vessels in glaucoma,” The British Journal of Ophthalmology, 1994;78(2):99-102.
  14. S.D. Ţălu, Ophtalmologie - Cours, Medical Publishing House Iuliu Haţieganu, Cluj-Napoca, Romania, 2005.
  15. S. Talu, M. Talu, Z. Fazekas, S. Giovanzana, "Multifractal analysis of human peripapillary atrophy," Image and Signal Processing and Analysis (ISPA), 2013, 8th International Symposium on, vol., no., pp.705,710, 4-6 Sept. 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Glaucoma diagnosis Peripapillary Atrophy Optic Disc Optic Cup.

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