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
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;
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
DOI :
10.1109/BIBE.2008.4696792