A new tool to connect blood vessels in fundus retinal images

Caliva, Francesco, Aletti, Matteo, Al-Diri, Bashir and Hunter, Andrew (2015) A new tool to connect blood vessels in fundus retinal images. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 25-29 August 2015, Milan, Italy.


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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


This paper presents a novel tool that allows a user to reconstruct the retinal vascular network from fundus images. The retinal vasculature consists of trees of arteries and veins. Common segmentation algorithms are not able to completely segment out the blood vessels in fundus images. This failure results in a set of disconnected or broken up vascular segments. Reconstructing the whole network has crucial importance because it can offer insight into global features not considered so far, including retinal fluid dynamics. This tool uses implicit neural cost functions to join vessel segments. Results have shown that the quality of the segmentation affects the outcome of connectivity algorithms and by enhancing the segmentation the connectivity can be improved.

Keywords:vessels connectivity, junction resolution, connectivity tool, retinal trees
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
A Medicine and Dentistry > A900 Others in Medicine and Dentistry
Divisions:College of Science > School of Computer Science
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ID Code:23460
Deposited On:18 Jul 2016 11:31

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