title: [Adaptive algorithm for automatic measurement of retinal vascular diameter].
abstract: A new adaptive computer-aided method for the measurement of blood vessel diameters has been developed. Within areas of interest in the image, the algorithm detects, line-wise, the edges of the vessels, which are then used for image-wise approximation and noise filtration. A high level of adaptivity with respect to numerous measuring parameters ensures its use in a wide range of applications. Thus, it has been shown to significantly improve clinically relevant reproducibility in the area of follow-up observations. The standard deviation for vessel diameter was (2.2 +/- 0.7)% in the case of arteries and (1.8 +/- 0.5)% in the case of veins. Testing the algorithm in images of poor quality revealed its high level of reliability and sensitivity.
authors.affiliation: Augenklinik des Klinikums, Friedrich-Schiller-Universität Jena.
authors.forename: K
authors.initials: K
authors.lastname: Münch
authors.forename: W
authors.initials: W
authors.lastname: Vilser
authors.forename: I
authors.initials: I
authors.lastname: Senff
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D019721:Ophthalmoscopes; D012015:Reference Standards; D015203:Reproducibility of Results; D012161:Retinal Artery / Q000033:anatomy & histology; D012171:Retinal Vessels / Q000033:anatomy & histology*
vernacular_title: Adaptive Algorithmen zur automatischen Messung retinaler Gefässdurchmesser.