Automated segmentation of the macula by optical coherence tomography
Optics Express, Vol. 17, Issue 18, pp. 15659-15669 (2009)
http://dx.doi.org/10.1364/OE.17.015659
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Abstract
This paper presents optical coherence tomography (OCT) signal intensity variation based segmentation algorithms for retinal layer identification. Its main ambition is to reduce the calculation time required by layer identification algorithms. Two algorithms, one for the identification of the internal limiting membrane (ILM) and the other for retinal pigment epithelium (RPE) identification are implemented to evaluate structural features of the retina. Using a 830 nm spectral domain OCT device, this paper demonstrates a segmentation method for the study of healthy and diseased eyes.
© 2009 Optical Society of America
OCIS Codes
(100.0100) Image processing : Image processing
(100.5010) Image processing : Pattern recognition
(170.4470) Medical optics and biotechnology : Ophthalmology
(170.4500) Medical optics and biotechnology : Optical coherence tomography
(170.4580) Medical optics and biotechnology : Optical diagnostics for medicine
ToC Category:
Medical Optics and Biotechnology
History
Original Manuscript: June 4, 2009
Revised Manuscript: July 24, 2009
Manuscript Accepted: August 11, 2009
Published: August 20, 2009
Virtual Issues
Vol. 4, Iss. 10 Virtual Journal for Biomedical Optics
Citation
Tapio Fabritius, Shuichi Makita, Masahiro Miura, Risto Myllylä, and Yoshiaki Yasuno, "Automated segmentation of the macula by optical coherence tomography," Opt. Express 17, 15659-15669 (2009)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=oe-17-18-15659
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References
- D. Koozekanani, K. Boyer, and C. Roberts, "Retinal thickness measurements from optical coherence tomography using a Markov boundary model," IEEE Trans. Med. Imaging 20,900-916 (2001). [PubMed]
- H. Ishikawa, D.M. Stein, G. Wollstein, S. Beaton, J.G. Fujimoto, and J.S. Schuman, "Macular segmentation with optical coherence tomography," Investigative Ophthalmol. Visual Scie. 46,2012-2017 (2005).
- M. Mujat, R. C. Chan, B. Cense, B. H. Park, C. Joo, T. Akkin, T. C. Chen, and J. F. de Boer, "Retinal nerve fiber layer thickness map determined from optical coherence tomography images," Opt. Express 13,9480-9491 (2005). [PubMed]
- M. Szkulmowski, M. Wojtkowski, B. Sikorski, T. Bajraszewski, V. J. Srinivasan, A. Szkulmowska, J. J. Kaluzny, J. G. Fujimoto, and A. Kowalczyk, "Analysis of posterior retinal layers in spectral optical coherence tomography images of the normal retina and retinal pathologies," J. Biomed. Opt. 12, (2007). [PubMed]
- D. C. Fernandez, H. M. Salinas, and C. A. Puliafito, "Automated detection of retinal layer structures on optical coherence tomography images," Opt. Express 13,200-216 (2005).
- M. Baroni, P. Fortunato, and A. L. Torre, "Towards quantitative analysis of retinal features in optical coherence tomography," Med. Engin. Phys. 29,432-441 (2007).
- E. G¨otzinger, M. Pircher, W. Geitzenauer, C. Ahlers, B. Baumann, S. Michels, U. Schmidt-Erfurth, and C. K. Hitzenberger, "Retinal pigment epithelium segmentation by polarization sensitive optical coherence tomography," Opt. Express 16,16410-16422 (2008). [PubMed]
- M. Zeng, J. Li and P. Zhang "The design of Top-Hat morphological filter and application to infrared target detection," Infr. Phys. Technol. 48,67-76 (2006).
- N. Otsu "A threshold selection method from gray-level histograms," IEEE Trans. Syst. Man Cyber. 9,62-66 (1979).
- S. Makita, Y.J. Hong, M. Yamanari, T. Yatagai, and Y. Yasuno, "Optical coherence angiography," Opt. Express 17,7821-7840 (2006).
- A. Misota, T. Sakuma, O. Miyauchi,M. Honda, and M. Tanaka, "Measurement of retinal thickness fromthe threedimensional images obtained from C scan images from the optical coherence tomography ophthalmoscope," Clinical and Experimental Ophthalmology 35,220-224 (2007).
- S. H. M. Liew, C. E. Gilbert, T. D. Spector, J. Mellerio, F. J. Van Kuijk, S. Beatty, F. Fitzke, J. Marshall, and C. J. Hammond, "Central retinal thickness is positively correlated with macular pigment optical density," Experimental Eye Research 82,915-920 (2006).
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