Automated analysis of retinal vascular network connectivity

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
Bashir Al-DiriMaged Habib

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 database.

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Citations

Sep 29, 2011·Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift für Augenheilkunde·Rui BernardesConceição Lobo
Mar 5, 2013·Computers in Biology and Medicine·Abdolhossein FathiFardin Abdali Mohammadi
Jun 26, 2010·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·George KontaxakisConstantinos S Pattichis
Feb 2, 2013·IEEE Transactions on Bio-medical Engineering·Qiangfeng Peter LauTien Yin Wong
Apr 12, 2016·Progress in Retinal and Eye Research·Paul A RobertsHelen M Byrne
Oct 17, 2017·IEEE Transactions on Medical Imaging·Enrico PellegriniEmanuele Trucco
Apr 4, 2021·International Journal of Molecular Sciences·Mervyn G ThomasIrene Gottlob

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