Many systemic diseases can cause changes of the diameters of retinal vessels and Arteriolar-to-Venular diameter Ratios (AVR), so it is of great importance to make quantitative analysis of the diameter of retinal vessels accurately in the diagnosis of the disease. An automatic method measuring the diameters of the artery and the vein and the AVR is proposed. Firstly, based on the segmentation of vascular network, the diameters of retinal vessels are measured according to the advantage of Hesse matrix for detecting line-like structure, and accurate localization of vascular direction with multi-scale analysis. Secondly, a General Regression Neural Network (GRNN) classifier is used to classify the artery and the vein points. Finally, the AVR in the Region Of Interest (ROI) is calculated. The validity of the proposed method is demonstrated by testing on the DRIVE and the REVIEW database.
肖志涛，崔宁，吴骏，耿磊，张芳，温佳，童军，刘晓婷，杨嵩. 基于Hesse矩阵和多尺度分析的视网膜动静脉血管管径测量方法[J]. 电子与信息学报, 2016, 38(11): 2871-2878.
XIAO Zhitao, CUI Ning, WU Jun, GENG Lei, ZHANG Fang, WEN Jia, TONG Jun, LIU Xiaoting, YANG Song. Measurement of Retinal Diameters of Artery and Vein Based on Hesse Matrix and Multi-scale Analysis. JEIT, 2016, 38(11): 2871-2878.
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