DocumentCode
1642711
Title
Joining retinal vessel segments
Author
Al-Diri, Bashir ; Hunter, Andrew ; Steel, David ; Habib, Maged
Author_Institution
Dept. of Comput. & Inf., Univ. of Lincoln, Lincoln
fYear
2008
Firstpage
1
Lastpage
6
Abstract
A new method is introduced for joining vessel segments together to form a vessel graph. Using a reference image set from the Sunderland Eye Infirmary, we analysed the retinal bifurcation geometry, to define measurements for the geometrical junction features. These distinctive measurements are employed to resolve the junctions. Self organized feature maps (SOFM) are used to ldquolearnrdquo cost functions for forming bifurcation and bridge forms. The system joins segments depending on their ldquoprojective intersectionsrdquo and the SOFM cost functions. The system includes algorithms to handle overlapping and parallel segments. Transferring the vascular network to a vascular graph provides an opportunity to extract more information and to calculate features that have been not previously calculated, by providing new measurements from graph theory.
Keywords
bifurcation; blood vessels; computational geometry; eye; feature extraction; graph theory; medical image processing; self-organising feature maps; SOFM cost functions; Sunderland Eye Infirmary; feature extraction; geometrical junction features; projective intersections; retinal bifurcation geometry; retinal vessel segment joining algorithm; self organized feature maps; vascular network; vessel graph; Bifurcation; Bridges; Cost function; Data mining; Geometry; Graph theory; Image analysis; Image segmentation; Retina; Retinal vessels; A self organized feature map; Parametric active contour; vascular junction; vascular network;
fLanguage
English
Publisher
ieee
Conference_Titel
BioInformatics and BioEngineering, 2008. BIBE 2008. 8th IEEE International Conference on
Conference_Location
Athens
Print_ISBN
978-1-4244-2844-1
Electronic_ISBN
978-1-4244-2845-8
Type
conf
DOI
10.1109/BIBE.2008.4696792
Filename
4696792
Link To Document