Abstract
The scope of this work is to develop a technological platform specialized in assessing retinal vessel caliber and describing the relationship of the results obtained to cardiovascular risk. Population studies conducted have found retinal vessel caliber to be related to the risk of hypertension, left ventricular hypertrophy, metabolic syndrome, stroke, and coronary artery disease. The vascular system in the human retina has a unique property: it is easily observed in its natural living state in the human retina by the use of a retinal camera. Retinal circulation is an area of active research by numerous groups, and there is general experimental agreement on the analysis of the patterns of the retinal blood vessels in the normal human retina. The development of automated tools designed to improve performance and decrease interobserver variability, therefore, appears necessary.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Akita, K., Kuga, H.: A computer method of understanding ocular fundus images. Pattern Recogn. 16, 431–443 (1982)
Chen, B., Tosha, C., Gorin, M.B., Nusinowitz, S.: Analysis of Autofluorescent retinal images and measurement of atrophic lesion growth in Stargardt disease. Experimental Eye Research 91(2), 143–152 (2010)
Goldbaum, M., Katz, N., Nelson, M., Haff, L.: The discrimination of similarly colored objects in computer images of the ocular fundus. Invest. Ophthalmol. Vis. Sci. 31, 617–623 (1990)
Heneghan, C., Flynn, J., O’Keefe, M., Cahill, M.: Characterization of changes in blood vessel and tortuosity in retinopathy of prematurity using image analysis. Med. Image Anal. 6, 407–429 (2002)
Heras, E., De la Prieta, F., Julian, V., Rodríguez, S., Botti, V., Bajo, J., Corchado, J.M.: Agreetment technologies and their use in cloud computing environments. Progress in Artificial Intelligence 1(4) (2012)
Hoover, A., Goldbaum, M.: Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels. IEEE Trans. Biomed. Eng. 22, 951–958 (2003)
Kalviainen, H., Hirvonen, P., Xu, L., Oja, E.: Probabilistic and non-probabilistic Hough transforms. Image Vision Comput. 13, 239–252 (1995)
Lee, S., Wang, Y., Lee, E.: A computer algorithm for automated detection and quantification of microaneurysms and haemorrhages in color retinal images. In: SPIE Conference on Image Perception and Performance, vol. 3663, pp. 61–71 (1999)
Li, H., Chutatape, O.: Automated feature extraction in color retinal images by a model based approach. IEEE Trans. Biomed. Eng. 51, 246–254 (2004)
Patton, N., Aslam, T.M., MacGillivray, T., Deary, I.J., Dhillon, B., Eikelboom, R.H., Yogesan, K., Constable, I.J.: Retinal image analysis: Concepts, applications and potential. Progress in Retinal and Eye Research 25(1), 99–127 (2006)
Rodríguez, S., De Paz, J.F., Bajo, J., Corchado, J.M.: Applying CBR Sytems to Micro-Array Data Classification. In: Corchado, J.M., De Paz, J.F., Rocha, M.P., Riverola, F.F. (eds.) Proceedings of IWPACBB 2008. ASC, pp. 102–111. Springer, Heidelberg (2010)
Sánchez, C., Hornero, R., López, M.I., Aboy, M., Poza, J., Abásolo, D.: A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis. Medical Engineering and Physics 30(1-3), 350–357 (2008)
Tamura, S., Okamoto, Y., Yanashima, K.: Zero-crossing interval correction in tracing eye-fundus blood vessels. Pattern Recogn. 21, 227–233 (1988)
Tanabe, Y., Kawasaki, R., Wang, J.J., Wong, T.Y., Mitchell, P., Daimon, M., et al.: Retinal arteriolar narrowing predicts 5-year risk of hypertension in Japanese people: the Funagata study. Microcirculation 17, 94–102 (2010)
Wong, T.Y., Duncan, B.B., Golden, S.H., Klein, R., Couper, D.J., Klein, B.E., et al.: Associations between the metabolic syndrome and retinal microvascular signs: the Atherosclerosis Risk In Communities study. Invest Ophthalmol. Vis. Sci. 45, 2949–2954 (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Verde, G. et al. (2013). Altair: Automatic Image Analyzer to Assess Retinal Vessel Caliber . In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_42
Download citation
DOI: https://doi.org/10.1007/978-3-319-00969-8_42
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00968-1
Online ISBN: 978-3-319-00969-8
eBook Packages: EngineeringEngineering (R0)