Conference Proceeding
Authors: Behdad Dashtbozorg (Instituto de Engenharia Biomedica) , Ana Maria Mendonca (Instituto de Engenharia Biomedica) , Susana Penas (Faculdade de Medicina Da Universidade do Porto) , Aurelio Campilho (Faculdade de Engenharia Universidade do Porto)
This paper presents an automatic application that provides several retinal image analysis functionalities, namely vessel segmentation, vessel width estimation, artery/vein classification and optic disc segmentation. A pipeline of these methods allows the computation of important vessel related indexes, namely the Central Retinal Arteriolar Equivalent (CRAE), Central Retinal Venular Equivalent (CRVE) and Arteriolar-to-Venular Ratio (AVR), as well as various geometrical features associated with vessel bifurcations. The results for AVR estimation were assessed using the images of INSPIRE-AVR dataset; for this dataset, the mean error of the measured AVR values with respect to the reference was identical to the one achieved by a medical expert. The estimation of the CRAE, CRVE and AVR values on 480 images from 120 subjects have shown a significant correlation between right and left eyes and also between images of same eye acquired with different camera fields of view.
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How to Cite: Dashtbozorg, B. , Mendonca, A. M. , Penas, S. & Campilho, A. (2014) “Computer-aided diagnosis system for the assessment of retinal vascular changes”, Proceedings of the Ophthalmic Medical Image Analysis International Workshop. 1(2014). doi: https://doi.org/10.17077/omia.1003