Retinal Vessel Classification Technique

A retinal vessel classification procedure is proposed. From the image of thinned vessel network, landmarks are extracted and classified as branching, crossover and end points. Then a vascular graph is generated. Using a stratified graph edge labeling procedure the artery/vein map is built. In a first step the graph branches near the optic disc are localized and classified. Each label is propagated along the most significant segments linked to initial vessels. The next labeling phase aims the not processed branches starting from already classified vessels. Only branches and edges at crossings are labeled. Finally, using the current labels set, the uncertain cases are solved.

[1]  Xiaoyi Jiang,et al.  Separation of the retinal vascular graph in arteries and veins based upon structural knowledge , 2009, Image Vis. Comput..

[2]  Behdad Dashtbozorg,et al.  Advanced Image Analysis for the Assessment of Retinal Vascular Changes , 2015 .

[3]  Silviu-Ioan Bejinariu,et al.  Retinal vessel labeling method , 2015, 2015 E-Health and Bioengineering Conference (EHB).

[4]  Ramona Luca,et al.  Vascular bifurcations and crossovers detection and processing in retinal images , 2015, 2015 International Symposium on Signals, Circuits and Systems (ISSCS).

[5]  Ramona Luca,et al.  Optic Disc Recognition Method for Retinal Images , 2014, SOFA.

[6]  Carlo Tomasi,et al.  Retinal Artery-Vein Classification via Topology Estimation , 2015, IEEE Transactions on Medical Imaging.

[7]  Emanuele Trucco,et al.  Retinal vessel classification: Sorting arteries and veins , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[8]  Mong-Li Lee,et al.  Simultaneously Identifying All True Vessels From Segmented Retinal Images , 2013, IEEE Transactions on Biomedical Engineering.

[9]  Ana Maria Mendonça,et al.  An Automatic Graph-Based Approach for Artery/Vein Classification in Retinal Images , 2014, IEEE Transactions on Image Processing.

[10]  J. Reinhardt,et al.  Automated Method for Identification and Artery-Venous Classification of Vessel Trees in Retinal Vessel Networks , 2014, PloS one.

[11]  Alfredo Ruggeri,et al.  A divide et impera strategy for automatic classification of retinal vessels into arteries and veins , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[12]  Hiroshi Fujita,et al.  Automated selection of major arteries and veins for measurement of arteriolar-to-venular diameter ratio on retinal fundus images , 2011, Comput. Medical Imaging Graph..