Conference proceeding
Automated method for the identification and analysis of vascular tree structures in retinal vessel network
Proceedings of SPIE, Vol.7963(1), pp.79630I-79630I-11
Medical Imaging 2011: Computer-Aided Diagnosis
03/31/2011
DOI: 10.1117/12.878712
Abstract
Structural analysis of retinal vessel network has so far served in the diagnosis of retinopathies and systemic
diseases. The retinopathies are known to affect the morphologic properties of retinal vessels such as course,
shape, caliber, and tortuosity. Whether the arteries and the veins respond to these changes together or in
tandem has always been a topic of discussion. However the diseases such as diabetic retinopathy and retinopathy
of prematurity have been diagnosed with the morphologic changes specific either to arteries or to veins. Thus
a method describing the separation of retinal vessel trees imaged in a two dimensional color fundus image may
assist in artery-vein classification and quantitative assessment of morphologic changes particular to arteries or
veins. We propose a method based on mathematical morphology and graph search to identify and label the
retinal vessel trees, which provides a structural mapping of vessel network in terms of each individual primary
vessel, its branches and spatial positions of branching and cross-over points. The method was evaluated on a
dataset of 15 fundus images resulting into an accuracy of 92.87 % correctly assigned vessel pixels when compared
with the manual labeling of separated vessel trees. Accordingly, the structural mapping method performs well
and we are currently investigating its potential in evaluating the characteristic properties specific to arteries or
veins.
Details
- Title: Subtitle
- Automated method for the identification and analysis of vascular tree structures in retinal vessel network
- Creators
- Vinayak S Joshi - The Univ. of Iowa (United States)Mona K Garvin - The Univ. of Iowa (United States)Joseph M Reinhardt - The Univ. of Iowa (United States)Michael D Abramoff - The Univ. of Iowa (United States)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.7963(1), pp.79630I-79630I-11
- Conference
- Medical Imaging 2011: Computer-Aided Diagnosis
- DOI
- 10.1117/12.878712
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/31/2011
- Academic Unit
- Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Ophthalmology and Visual Sciences; Radiology; Fraternal Order of Eagles Diabetes Research Center
- Record Identifier
- 9984060878902771
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