Assessment of Retinal Vascular Changes Through Arteriolar-to-Venular Ratio Calculation
The Arteriolar-to-Venular Ratio (AVR) is an index used for the early diagnosis of diseases such as diabetes, hypertension or cardiovascular pathologies. This paper presents three automatic approaches for the estimation of the AVR in retinal images that result from the combination of different methodologies in some of the processing phases used for AVR estimation. Each one of these methods includes vessel segmentation, vessel caliber estimation, optic disc detection or segmentation, region of interest determination, vessel classification into arteries and veins and finally AVR calculation. The values produced by the proposed methods on 40 images of the INSPIRE-AVR dataset were compared with a ground-truth obtained by two medical experts using a semi-automated system. The results showed that the measured AVRs are not statistically different from the reference, with mean errors similar to those achieved by the two experts, thus demonstrating the reliability of the herein proposed approach for AVR estimation.
KeywordsArtery/Vein classification Arteriolar-to-Venular Ratio Optic disc detection Retinal images Vessel segmentation
- 1.Dashtbozorg, B., Mendonca, A.M., Campilho, A.: Assessment of vascular changes in retinal images. In: 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1–4. IEEE (2014)Google Scholar
- 4.Grosvenor, T., Grosvenor, T.P.: Primary Care Optometry. Elsevier Health Sciences, UK (2007)Google Scholar
- 12.Niemeijer, M., Xu, X., Dumitrescu, A., Gupta, P., van Ginneken, B., Folk, J., Abramoff, M.: INSPIRE-AVR: Iowa Normative Set for Processing Images of the REtina-Artery Vein Ratio (2011). http://webeye.ophth.uiowa.edu/component/k2/item/270
- 14.Ruggeri, A., Grisan, E., De Luca, M.: An automatic system for the estimation of generalized arteriolar narrowing in retinal images. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007, pp. 6463–6466. IEEE (2007)Google Scholar