Abstract
This work presents a methodology for detecting human retina images suspect of glaucoma based on the measurement of displacement of the vascular bundle caused by the growth of the excavation or cup. The results achieved are due to the relative increase in size of the cup or excavation that causes a displacement of the blood vessel bundle to the superior, inferior and nasal optic disc areas. The method consists of the segmentation of the optic disc contour and the vascular bundle located within it, and calculation of its displacement from its normal position using the chessboard metric. The method was successful in 62 images of a total of 67, achieving an accuracy of 93.02% of sensitivity and 91.66% of specificity in the pre-diagnosis.
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References
Gili-Manzanaro, G., Carrasco, F.C., Martín-Rodrigo, J.C., Yangüela-Rodilla, J., Arias-Puente, A.: Análisis digital de la papila con cámara de fondo de ojo convencional: estudio de variabilidad. Arch. Soc. Esp. Oftalmol. de Madrid 79(3) (2004)
Consejo de salubridad general: Aspectos Generales. Centro Nacional de Excelencia Tecnológica en Salud: Diagnóstico y Tratamiento del Paciente Adulto con Glaucoma de Ángulo Abierto, 10–26. Secretaría de Salud, México (2009)
Elolia, R., Stokes, J.: Monograph Series on Aging-related Diseases: XI. Glaucoma. Chronic Diseases in Canada 19(4) (1998)
Felipe-Riverón, E.M., Morales-Güitrón, S.L., Ortiz-Yánez, S.: Detección automática de la normalidad de las retinas humanas. Tesis de Maestría en Ciencias de la Computación CIC-IPN, México (2004)
Gili Manzanaro, G.: Fotografía de fondo de ojo con filtros. Boletín de a Soc Oftalmol de Madrid (44) (2004)
Otsu, N.: A threshold Selection Method from Gray-Level Histogram. IEEE Trans. Systems, Man and Cybernetics SMC-9(1), 62–66 (1976)
Ansari-Shahrezaei, S., Maar, N., Biowski, R., Stur, M.: Biomicroscopic measurement of the optic disc with a high-power positive lens. Invest. Ophthalmol. Vis. Sci. 42(1) (2001)
Fernández-Argones, L., Piloto-Díaz, I., Coba-Peña, M., Pérez-Tamayo, B., Domínguez-Randulfe, M., Trujillo-Fonseca, K.: Sistemas de análisis digital de imágenes en el glaucoma. Rev. Cubana Invest. Biomédica 28(3) (2009)
Mendoza-Santiesteban, C.E., Santiesteban-Freixas, R., González-García, A., González-Hess, L., Mesa-Hernández, E., Perdomo-Trujillo, Y., Alemañy-Rubio, E., Eguia, F., Vidal-Casalís, S.: La tomografía de coherencia óptica en el diagnóstico de enfermedades de la retina y el nervio óptico. Rev. Cubana Oftalmol. 18(2) (2005)
Duch-Tuesta, S., Buchacra-Castellano, O.: Tomografía de coherencia óptica en glaucoma. Infothea 43 (2006)
De la Fuente-Arriaga, J.A., Garduño-Calderón, E., Cuevas-de la Rosa, F.J.: Estado actual de las técnicas computacionales para la valoración del disco óptico en glaucoma. Memorias del Congreso Mexiquense CTS+I 1(1), 155–161 (2011)
Nayak, J., Acharya, R.: Automated Diagnosis of Glaucoma Using Digital Fundus Images. J. Med. Syst. 33(5) (2009)
Felipe Riverón, E.M., del Toro Céspedes, M.: Measurement of Parameters of the Optic Disk in Ophthalmoscopic Color Images of Human Retina. In: Sanfeliu, A., Martínez Trinidad, J.F., Carrasco Ochoa, J.A. (eds.) CIARP 2004. LNCS, vol. 3287, pp. 661–668. Springer, Heidelberg (2004)
Liu, J., Wong, D.W.K., Lim, J.H., Li, H., Tan, N.M., Wong, T.Y.: ARGALI: an automatic cup-to-disc ratio measurement system for glaucoma detection and AnalysIs framework. In: Proc. of SPIE, Medical Imaging 2009: Computer-Aided Diagnosis, vol. 7260 (2009)
Abdel-Ghafar, A., Morris, A., Ritchings, B., Wood, C.: Detection and Characterization of the Optic Disk in Glaucoma and Diabetic Retinopathy. UMIST 88 (2004)
Hatanaka, Y., Noudo, A., Sawada, A., Hara, T., Yamamoto, T., Fujita, H.: Automated Measurement of Cup to Disc Ratio Based on Line Profile Analysis in Retinal Images. In: 33rd Annual International Conference of the IEEE EMBS, Boston (2011)
Muramatsu, C., Nakagawa, T., Sawada, A., Hatanaka, Y., Hara, T., Yamamoto, T., Fujita, H.: Automated segmentation of optic disc region on retinal fundus photographs: Comparison of contour modeling and pixel classification methods. Computer Methods and Programs in Biomedicine 101(1) (2010)
Kavitha, S., Duraiswamy, K.: An efficient decision support system for detection of glaucoma in fundus images using ANFIS. International Journal of Advances in Engineering & Technology 6(1), 226–240 (2012)
Narasimhan, K., Vijayarekha, K.: An efficient automated system for glaucoma detection using fundus image. Journal of Theoretical and Applied Information Technology 33(1) (2011)
Muramatsu, C., Nakagawa, T., Sawada, A., Hatanaka, Y., Yamamoto, T., Fujita, H.: Automated determination of cup-to-disc ratio for classification of glaucomatous and normal eyes on stereo retinal fundus images. Journal of Biomedical Optics 16(9) (2011)
Gere, J.M., Goodno, B.J.: Repaso de centroides y momentos de inercia. Cervantes-González, S.R: Mecánica de materiales. Cengage Learning, 901–927 (2009)
Joshi, G.D., Sivaswamy, J., Krishnadas, S.R.: Optic disk and cup segmentation from monocular color retinal images for glaucoma assessment. IEEE Transactions on Medical Imaging 30(6), 1192–1205 (2011)
Liu, J., Wong, D.W.K., Lim, J.H., Li, H., Tan, N.M., Wong, T.Y.: Automated detection of kinks from blood vessels for optic cup segmentation in retinal images. In: Proc. of SPIE, Medical Imaging 2009: Computer-Aided Diagnosis, vol. 7260, pp. 72601J-1–72601J-8 (2009)
De la Fuente-Arriaga, J.A., Felipe-Riverón, E.M., Garduño-Calderón, E.: Segmentación del disco óptico en imágenes de retina mediante la transformada de Hough y los contornos activos. Research in Computer Science 58, 117–131 (2012)
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de la Fuente-Arriaga, J.A., Felipe-Riverón, E.M., Garduño-Calderón, E. (2013). Detection of Human Retina Images Suspect of Glaucoma through the Vascular Bundle Displacement in the Optic Disc. In: Castro, F., Gelbukh, A., González, M. (eds) Advances in Artificial Intelligence and Its Applications. MICAI 2013. Lecture Notes in Computer Science(), vol 8265. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45114-0_41
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DOI: https://doi.org/10.1007/978-3-642-45114-0_41
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