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Segmentation of Retinal Nerve Fiber Layer in Optical Coherence Tomography (OCT) Images using Statistical Region Merging Technique for Glaucoma Screening

by Chandrappa S., Dharmanna Lamani, S. Jagadeesha, Ranjan Kumar H.S.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Number 10
Year of Publication: 2015
Authors: Chandrappa S., Dharmanna Lamani, S. Jagadeesha, Ranjan Kumar H.S.
10.5120/ijca2015906658

Chandrappa S., Dharmanna Lamani, S. Jagadeesha, Ranjan Kumar H.S. . Segmentation of Retinal Nerve Fiber Layer in Optical Coherence Tomography (OCT) Images using Statistical Region Merging Technique for Glaucoma Screening. International Journal of Computer Applications. 128, 10 ( October 2015), 32-35. DOI=10.5120/ijca2015906658

@article{ 10.5120/ijca2015906658,
author = { Chandrappa S., Dharmanna Lamani, S. Jagadeesha, Ranjan Kumar H.S. },
title = { Segmentation of Retinal Nerve Fiber Layer in Optical Coherence Tomography (OCT) Images using Statistical Region Merging Technique for Glaucoma Screening },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 128 },
number = { 10 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume128/number10/22911-2015906658/ },
doi = { 10.5120/ijca2015906658 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:21:17.700921+05:30
%A Chandrappa S.
%A Dharmanna Lamani
%A S. Jagadeesha
%A Ranjan Kumar H.S.
%T Segmentation of Retinal Nerve Fiber Layer in Optical Coherence Tomography (OCT) Images using Statistical Region Merging Technique for Glaucoma Screening
%J International Journal of Computer Applications
%@ 0975-8887
%V 128
%N 10
%P 32-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Retinal Nerve Fiber Layer thickness is one of the main clinical parameter used to diagnose glaucoma eye disease. The thickness of the RNFL decreases as the intraocular pressure inside the eye increases. Decrease in RNFL thickness or damages to RNFL due to high intraocular pressure leads to Glaucoma. The present work provides a technique for the segmentation of Retinal Nerve Fiber Layer (RNFL) from the Optical Coherence Tomography (OCT) images. First, OCT image is pre-processed then RNFL in OCT is segmented by statistical region merging algorithm. The segmented RNFL is refined using morphological operations such as dilation and erosion. At the end, segmented RNFL is extracted by developed algorithm. The developed technique is tested with 50 RNFL images. The result shows the exact boundaries of RNFL and segmented portion of the RNFL. Segmented RNFL can be used to find the thickness of RNFL for detection of glaucoma.

References
  1. Dhivyabharathi et al., “measurement of rnfl thickness using oct images for glaucoma detection”, ictact journal on image and video processing, august 2013, volume: 04, issue: 01.
  2. Akshaya Mishra et al., “Intra-Retinal Layer Segmentation in Optical Coherence Tomography Images”, Optics Express, Vol. 17, No. 26, pp. 23719 - 23728, 2009.
  3. Lu Zongqing et al., “A Variational Approach to Automatic Segmentation of RNFL on OCT Data Sets of the Retina”, IEEE International Conference on Image Processing, pp. 3345 - 3348, 2009.
  4. Ganesh Babu T R et al., “retinal nerve fiber layer segmentation of oct images by entropy method”, Research Journal of Pharmaceutical, Biological and Chemical Sciences, ISSN: 0975-8585, September October 2014.
  5. Markus A. Mayer et al., “Retinal Nerve Fiber Layer Segmentation on FD-OCT Scans of Normal Subjects and Glaucoma Patients”, Biomed Opt Express, doi: 10.1364/BOE.1.001358.
  6. Cabrera Fernández D et al., “Automated detection of retinal layer structures on optical coherence tomography images”, Opt Express. 2005 Dec 12;13(25):10200-16.
  7. D. Huang, E. Swanson, C. Lin, J. Schuman, W. Stinson, W. Chang, M. Hee, T. Flotte, K. Gregory, C. Puliafito, and J. Fujimoto, “Optical coherence tomography,” Science 254, 1178-1181 (1991).
  8. A.F. Fercher, “Optical coherence tomography,” J. Biomed. Opt. 1, 157 -1996.
  9. J. Fujimoto et al., “Optical Coherence Tomography (OCT) in ophthalmology:introduction,” Opt. Express 17(5), 3978-3979 -2009.
  10. C. Leung et al., “Evaluation of retinal nerve fiber layer progression in glaucoma with optical coherence tomography guided progression analysis”, Invest. Ophthamal. Visual Sci. 2009.
  11. Mansoori T et al.,“Reproducibility of peripapillary retinal nerve fiber layer thickness measurements with spectral domain optical coherence tomography in normal and glaucomatous eyes”, Br J Ophthalmol 95: 685-688.
  12. Online:http://www.thetechnologysource.biz/files/RNFLChapter1.pdf.
  13. Online:http://multiple-sclerosis-research.blogspot.com.
Index Terms

Computer Science
Information Sciences

Keywords

Optical coherence tomography (OCT) Retinal Nerve Fiber Layer (RNFL) RNFL Thickness

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