Al-Diri, Bashir and Hunter, Andrew and Steel, David and Habib, Maged (2010) Automated analysis of retinal vascular network connectivity. Computerized Medical Imaging and Graphics, 34 (6). pp. 462-470. ISSN 0895-6111

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Abstract

This paper describes an algorithm that forms a retinal vessel graph by analysing the potential connectivity of segmented retinal vessels. Self organizing feature maps (SOFMs) are used to model implicit cost functions for the junction geometry. The algorithm uses these cost functions to resolve the configuration of local sets of segment ends, thus determining the network connectivity. The system includes specialized algorithms to handle overlapping vessels. The algorithm is tested on junctions drawn from the public-domain DRIVE

Item Type:	Article
Additional Information:	This paper describes an algorithm that forms a retinal vessel graph by analysing the potential connectivity of segmented retinal vessels. Self organizing feature maps (SOFMs) are used to model implicit cost functions for the junction geometry. The algorithm uses these cost functions to resolve the configuration of local sets of segment ends, thus determining the network connectivity. The system includes specialized algorithms to handle overlapping vessels. The algorithm is tested on junctions drawn from the public-domain DRIVE
Keywords:	Self organized feature maps, Retinal vascular segmentation, Retinal vessel graph, Junction resolution, Connectivity of segmented retinal vessels, Overlapping segments, ref11, refdoi
Subjects:	G Mathematical and Computer Sciences > G400 Computer Science
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Computer Science
Depositing User:	Rosaline Smith
Date Deposited:	09 Jul 2010 13:59
Last Modified:	03 Jun 2013 17:24
URI:	http://eprints.lincoln.ac.uk/id/eprint/2754

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