%0 Journal Article %1 Munch.1995b %A Münch, K. %A Vilser, W. %A Senff, I. %D 1995 %J Biomedizinische Technik %K *Algorithms;Humans;Image Artery/anatomy Computer-Assisted/*instrumentation;*Ophthalmoscopes;Reference Processing, Results;Retinal Standards;Reproducibility Vessels/*anatomy WViCo histology histology;Retinal of {\&} %N 11 %P 322--325 %T Adaptive algorithm for automatic measurement of retinal vascular diameter %V 40 %X 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.

@article{Munch.1995b, 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.}, added-at = {2013-10-10T21:29:09.000+0200}, author = {M{\"u}nch, K. and Vilser, W. and Senff, I.}, biburl = {https://www.bibsonomy.org/bibtex/2915fbbbd54ee8732fbd3313a884a0ffc/imedos}, interhash = {0116236515f3bc2723bf68bc03695e1d}, intrahash = {915fbbbd54ee8732fbd3313a884a0ffc}, issn = {0013-5585}, journal = {Biomedizinische Technik}, keywords = {*Algorithms;Humans;Image Artery/anatomy Computer-Assisted/*instrumentation;*Ophthalmoscopes;Reference Processing, Results;Retinal Standards;Reproducibility Vessels/*anatomy WViCo histology histology;Retinal of {\&}}, number = 11, pages = {322--325}, timestamp = {2013-10-11T01:11:02.000+0200}, title = {Adaptive algorithm for automatic measurement of retinal vascular diameter}, volume = 40, year = 1995 }