Abstract
The Break-Up Time test (BUT) evaluates the quality and stability of the tear film. It is used for the diagnosis of the dry eye syndrome, a common disorder of the tear film, affecting a significant percentage of the population. This work describes a fully automatic methodology to compute the time in which the break-up occurs and to analyze the rupture zone. This analysis provides useful quantitative and qualitative information for the clinical practice about the location, size and shape of the break-up areas.
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References
Lemp, M.: Advances in understanding and managing dry eye disease. Am. J. Ophthalmol. 46, 350–356 (2008)
Fenga, C., Aragona, P., Cacciola, A., Spinela, R., Nola, C.D., Ferreri, F., Rania, L.: Melbonian gland dysfunction and ocular discomform in video display terminal workers. Eye 22, 91–95 (2008)
Khanal, S.: Dry eye diagnosis. Invest Opthalmol. Vis. Sci. 49, 1907–1914 (2008)
Guillon, J.: Non-invasive tearscope plus routine for contact lens fitting. Contact Lens & Anterior Eye 2, S31–S40 (1998)
Lee, M.J.H., Kee, M.C.W.: The significance of tear film break-up time in the diagnosis of dry eye syndrome. Kor J. Opthalmol. 21, 69–71 (1988)
Ramos, L., Barreira, N., Mosquera, A., Currás, M., Pena-Verdeal, H., Giráldez, M., Penedo, M.: Adaptive parameter computation for the automatic measure of the tear break-up time. In: 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2012), vol. 243, pp. 1370–1379 (2012)
King-Smith, P., Fink, B., Nichol, J.J., Braun, R., McFadden, G.: The contribution of lipid layer movement to tear film thinning and breakup. Invest. Opthalmol. Vis. Sci. 50, 2747–2756 (2009)
Chang-Ling, T.: Sensitivity and neural organization of the cat cornea. Invest. Opthalmol. Vis. Sci. 30, 1075–1082 (1989)
Bitton, E., Lovasik, J.: Longitudinal analysis of precorneal tear film rupture patterns. Adv. Exp. Med. Biol. 438, 381–389 (1998)
Terry, T., Schnider, C., Holden, B.: The cclru standards. Optician, 18–23 (1993)
Foracchia, M., Grisan, E., Ruggeri, A.: Luminosity and contrast normalization in retinal images. Medical Image Analysis 9(3), 179–190 (2005)
Suzuki, S., Abe, K.: Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing 30(1), 32–46 (1985)
Reed Teague, M.: Image analysis via the general theory of moments. Journal of the Optical Society of America (JOSA) 70(8), 920–930 (1980)
Nunes, J.F., Moreira, P., Tavares, J.: Shape based image retrieval and classification. In: 5th Iberian Conference on Information Systems and Technologies, CISTI (2010)
Rodriguez, J., Perez, A., Lozano, J.: Sensitivity analysis of k-fold cross validation in prediction error estimation. IEEE Trans. on Pattern Analysis and Machine Intelligence 32(3), 569–575 (2010)
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Ramos, L., Barreira, N., Mosquera, A., Pena-Verdeal, H., Yebra-Pimentel, E. (2013). Break-Up Analysis of the Tear Film Based on Time, Location, Size and Shape of the Rupture Area. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2013. Lecture Notes in Computer Science, vol 7950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39094-4_79
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DOI: https://doi.org/10.1007/978-3-642-39094-4_79
Publisher Name: Springer, Berlin, Heidelberg
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