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.

Download full-text PDF

Source
http://dx.doi.org/10.1109/EMBC.2015.7319356DOI Listing

Publication Analysis

Top Keywords

blood vessels
8
vessels fundus
8
fundus images
8
tool connect
4
connect blood
4
retinal
4
fundus retinal
4
retinal images
4
images paper
4
paper presents
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!