Measurement of Retinal Diameters of Artery and Vein Based on Hesse Matrix and Multi-scale Analysis

XIAO Zhitao; CUI Ning; WU Jun; GENG Lei; ZHANG Fang; WEN Jia; TONG Jun; LIU Xiaoting; YANG Song

doi:10.11999/JEIT160165

Volume 38 Issue 11

Dec. 2016

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Article Navigation > Journal of Electronics & Information Technology > 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[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2871-2878. doi: 10.11999/JEIT160165

Citation:

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[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2871-2878. doi: 10.11999/JEIT160165

Citation:

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[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2871-2878. doi: 10.11999/JEIT160165

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Measurement of Retinal Diameters of Artery and Vein Based on Hesse Matrix and Multi-scale Analysis

doi: 10.11999/JEIT160165

Funds:

The National Natural Science Foundation of China (61401439), Tianjin Science and Technology Supporting Projection (14ZCZDGX00033), Tianjin Research Program of Application Foundation and Advanced Technology (15JCYBJC 16600), Specialized Research Fund for the Doctoral Program of Higher Education of China (20131201110001)

Received Date: 2016-02-24
Rev Recd Date: 2016-06-22
Publish Date: 2016-11-19

Abstract

Abstract

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.
- Retinal vessels,
- Hesse matrix,
- Diameter measurement,
- General Regression Neural Network (GRNN),
- Arteriolar-to-Venular diameter Ratios (AVR)

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References(17)

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