Abstract
Most of the software packages offered these days, delivered together with tomographs generalizes the results obtained, due to optimizing the time of analysis. In consequence, the analysis is quick and less accurate. The authors propose an algorithm that would improve the quality and accuracy of results obtained from methods of automatic detection of individual layers of the posterior segment of the eye, by the three-dimensional and high-speed spectral domain optical coherence tomography (SD-OCT) instrument. A new method has been proposed to enhance the results obtained from automatic analyses of layers (retinal pigment epithelium, inner and outer segments of photoreceptors etc.) in the posterior segment of the eye. The proposed method is a new one, suggested by the authors, for contextual analysis of pixels. The proposed method is fully automatic, while the measurable improvement of results is possible for application in case of 2D images, and on their basis the reconstructed 3D images. The algorithm has been proposed and implemented in the Matlab environment and C language.
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References
Costa, R.A., Calucci, D., Skaf, M., et al.: Optical coherence tomography 3: Automatic delineation of the outer neural retinal boundary and its influence on retinal thickness measurements. Invest. Ophthalmol. Vis. Sci. 45(7), 2399–2406 (2004)
Engelbert, M., Zweifel, S., Imamura, Y., Fisher, Y.L.: Spectral and time domain OCT measure identical retinal thickness if identical boundaries are selected for analysis. In: Vitreous Retina Macula Consultants of New York, New York, NY, USA (2003)
Fujimoto Ko, T.H., Duker, J.G., et al.: Comparison of ultrahigh- and standard-resolution optical coherence tomography for imaging macular hole pathology and repair. Ophthalmology 111, 2033–2043 (2004)
Koprowski, R., Wrobel, Z.: Hierarchic approach in the analysis of tomographic eye image. In: 2009 IFSA World Congress on International Fuzzy Systems Association, July 20-24, Lizbona, Portugalia (2009)
Koprowski, R., Wrobel, Z.: Layers Recognition in Tomographic Eye Image Based on Random Contour Analysis. In: Kurzynski, M., Wozniak, M. (eds.) Computer Recognition Systems 3. AISC, vol. 57, pp. 471–478. Springer, Heidelberg (2009)
Koprowski, R., Wrobel, Z.: Identication of layers in a tomographic image of an eye based on the Canny edge detection. In: Conference on Information Technologies in Biomedicine (2008)
Yang, Q., Reisman, C.A., Wang, Z., Fukuma, Y., Hangai, M., Yoshimura, N., Tomidokoro, A., Araie, M., Raza, A.S., Hood, D.C., Chan, K.: Automated layer segmentation of macular images using dual-scale gradient Information. Opt. Express 18(20), 21293–21307 (2010)
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Koprowski, R., Teper, S., Wylegala, E., Wróbel, Z. (2012). Enhancing the Quality of Layer Detection in Tomographic Images of the Eye. In: Piętka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Lecture Notes in Computer Science(), vol 7339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31196-3_2
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DOI: https://doi.org/10.1007/978-3-642-31196-3_2
Publisher Name: Springer, Berlin, Heidelberg
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