Abstract
According to the World Health Organization, approximately in the world 5’700.000 persons present blindness or low vision due the glaucoma disease. In Ecuador, the National Council for Equality of Disabilities (CONADIS) claims that 13.2% of people live with some form of disability. Of this group, 0.8% people present different kind of visual disabilities, from which an important number are have related with Glaucoma. This article proposes an accessible tool for the ophthalmologist that facilitates the presumptive diagnosis of Glaucoma using only the digital image of the human eye fundus. With the proposed system, we have processed digitally 72 biomedical images of the human eye. With this information, our approach has generated the respective diagnoses for the two techniques ISNT and cup-disc relationship (CDR), which can be stored in PDF format to contrast with a later diagnosis to help the specialist. The CDR technique has produced an average relative error of 4.5% was obtained with respect to the medical results taken from OCT. Both the images and the results of the OCT were acquired from the Clinic “Santa Lucía” of Quito city.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ecuador Vulnerable a la Ceguera. http://ns1.ecuadorinmediato.com/index.php?module=Noticias&func=news_user_view&id=3228&umt=ecuador_vulnerable_a_ceguera
Pinos, E., Ingavelez, P.: “Análisis de los diagnósticos de discapacidades en la provincia del Azuay y propuesta de desarrollo de tecnologías inclusivas”. INGENIUS, Número 6, (julio/diciembre), pp. 29–36. Revista de Ciencia y Tecnología de la Universidad Politécnica Salesiana del Ecuador (2011)
Robles Bykbaev, V., Pinos Vélez, E., Ingavelez Guerra, P.: An educational approach to generate new tools for education support of children with disabilities. In: 2011 International Conference on IEEE Xplore, e-Education, Entertainment and e-Management, pp. 80–83 (2011)
Lotankar, M., Noronha, K., Koti, J.: Detection of optic disc and cup from color retinal images for automated diagnosis of glaucoma. In: 2015 IEEE UP Section Conference on Electrical Computer and Electronics (UPCON), Allahabad, pp. 1–6 (2015)
Salam, A.A., Akram, M.U., Wazir, K., Anwar, S.M., Majid, M.: Autonomous Glaucoma detection from fundus image using cup to disc ratio and hybrid features. In: 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Abu Dhabi, pp. 370–374 (2015)
Aguilar, E., Reyes, S., Perez, F.: Glaucoma: La Enfermedad Silenciosa, Centro optometría internacional, Junior (2006)
Bright Focus Foundation National Glaucoma: Datos Esenciales. http://www.brightfocus.org/sites/default/files/essentialfactsonglaucoma_spanish.pdf
Organización Mundial de la Salud; Ceguera y discapacidad visual. http://www.who.int/mediacentre/factsheets/fs282/es/
Dr. Eugenio Maul de la Puente “GLAUCOMA” Departamento De Oftalmología-Curso de Oftalmología (2011)
Quigley, H.A., Broman, A.T.: The number of people with Glaucoma worldwide in 2010 and 2020. Br. J. Ophthalmol. 90(3), 262–267 (2006)
Encalada Ojeda, M.S., Gamboa Vinueza, E.G.: Desarrollo de un sistema de soporte a la detección del glaucoma a través de procesamiento digital de imágenes biomédicas del fondo de ojo y uso de software libre, Universidad Politecnica Salesiana, Cuenca, Ecuador (2016)
Tombran-Tink, J., Barnstable, C.J., Shields, M.B.: Mechanisms of the Glaucoma, disease process and therapeutic modalities. Ophthalmology Research. Human Press. ISBN: 978-1-58829-956-7 (2008)
Martín, P.B.: Estudio de la Dinámica del humor acuoso mediante fluorofotometría en el glaucoma de ángulo abierto, Departamento de Oftalmología, Facultad de Medicina, Universidad Complutense de Madrid, Madrid (2001)
Antonio, F.: Glaucoma Imaging. Springer (2016). ISBN: 978-3-319-18958-1
National Eye Institute. Caption: Series of four photos demonstrating typical progression of vision loss due to glaucoma. http://www.visionaware.org/info/your-eye-condition/glaucoma/patients-guide-to-living-with-glaucoma/125
Giraldo, J.C.R., Flectcher, J.J., McCollough, C.H.: Reducción del ruido en imágenes de tomografía computarizada usando un filtro bilateral anisotrópico-Noise reduction in computed tomography images using an anisotropic bilateral filter. Revista Ingeniería Biomédica 4(7), 62–68 (2011)
Martins Joao, C., Sousa Leonel, A.: Bioelectronic Vision, Retinal Models, Evaluation Metrics and System Design. Series on Bioengineering & Biomedical Engineering, vol. 3. World Scientific, ISBN-13 978-981-279-430-7 (2009)
Dutta, M.K., Mourya, A.K., Singh, A., Parthasarathi, M., Burget, R., Riha, K.: Glaucoma detection by segmenting the super pixels from fundus colour retinal images. In: 2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom), Greater Noida, pp. 86–90 (2014)
Lotankar, M., Noronha, K., Koti, J.: Detection of optic disc and cup from color retinal images for automated diagnosis of glaucoma. In: 2015 IEEE UP Section Conference on Electrical Computer and Electronics (UPCON), Allahabad, pp. 1–6 (2015)
Rocío, A., Sebastián, T.: Simulación y modelamiento del ojo humano como herramienta para la prevención del Glaucoma a través de la medición de la Presión Intraocular. Universidad Politécnica Salesiana (2015)
Acknowledgments
This research project would not have been possible without the support of the Research Group of Artificial Intelligence and Support Technology and of the Research Group in Biomedical Engineering of the Universidad Politecnica Salesiana of Cuenca. Special thanks also to Dr. Carlos Luis Chacón from Santa Lucía clinic in Quito, and the University of Piura – Perú, and its Engineering Doctorial Program, DICOP.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Pinos-Vélez, E., Encalada, S., Gamboa, E., Robles-Bykbaev, V., Ipanque, W., Chacón, C.L. (2018). Development of a Support System for the Presumptive Diagnosis of Glaucoma Through the Processing of Biomedical Images of the Human Eye Fundus in Ecuador. In: Duffy, V., Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2017. Advances in Intelligent Systems and Computing, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-319-60483-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-60483-1_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60482-4
Online ISBN: 978-3-319-60483-1
eBook Packages: EngineeringEngineering (R0)