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Automatic Gunn and Salus sign quantification in retinal images.

ΤίτλοςAutomatic Gunn and Salus sign quantification in retinal images.
Publication TypeJournal Article
Year of Publication2015
AuthorsWigdahl, J., Guimarães P., Leontidis G., Triantafyllou A., & Ruggeri A.
JournalAnnu Int Conf IEEE Eng Med Biol Soc
Volume2015
Pagination5251-4
Date Published2015
ISSN2694-0604
Λέξεις κλειδιάAutomation, Humans, Image Processing, Computer-Assisted, Observer Variation, Retina, Retinal Artery, Retinal Vein
Abstract

Prolonged hypertension can lead to abnormal changes in the retinal vasculature, including sclerosis and thickening of the arteriole walls. These changes can cause compression (Gunn's sign) and deflection (Salus's sign) of the veins at arteriovenous crossings. In retinal images, Gunn's sign appears as a tapering of the vein at a crossing point, while Salus's sign presents as an S-shaped curving. This paper presents a method for the automatic quantification of these two signs once a crossover has been detected; combining segmentation, artery vein classification, and morphological feature extraction techniques to calculate vein widths and angles entering and exiting the crossover. The method was tested on a small set of crossings, graded by a set of 3 doctors who were in agreement as having or not having Gunn/Salus sign. Results show separation between the two classes and that we can reliably detect and quantify these sign under the right conditions.

DOI10.1109/EMBC.2015.7319576
Alternate JournalAnnu Int Conf IEEE Eng Med Biol Soc
PubMed ID26737476

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