title: Automatic Gunn and Salus sign quantification in retinal images.
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.
authors.forename: Jeffrey
authors.initials: J
authors.lastname: Wigdahl
authors.forename: Pedro
authors.initials: P
authors.lastname: Guimarães
authors.forename: Georgios
authors.initials: G
authors.lastname: Leontidis
authors.forename: Areti
authors.initials: A
authors.lastname: Triantafyllou
authors.forename: Alfredo
authors.initials: A
authors.lastname: Ruggeri
mesh_terms: D001331:Automation; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D015588:Observer Variation; D012160:Retina / Q000473:pathology / Q000503:physiopathology*; D012161:Retinal Artery / Q000473:pathology*; D012169:Retinal Vein / Q000473:pathology*