Vessel boundary delineation on fundus images using graph-based approach

Xiayu Xu; Meindert Niemeijer; Qi Song; Milan Sonka; Mona K Garvin; Joseph M Reinhardt; Michael D Abràmoff

doi:10.1109/TMI.2010.2103566

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Vessel boundary delineation on fundus images using graph-based approach

Journal article

Open access

Peer reviewed

Vessel boundary delineation on fundus images using graph-based approach

Xiayu Xu, Meindert Niemeijer, Qi Song, Milan Sonka, Mona K Garvin, Joseph M Reinhardt and Michael D Abràmoff

IEEE transactions on medical imaging, Vol.30(6), pp.1184-1191

06/2011

DOI: 10.1109/TMI.2010.2103566

PMCID: PMC3137950

PMID: 21216707

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Abstract

This paper proposes an algorithm to measure the width of retinal vessels in fundus photographs using graph-based algorithm to segment both vessel edges simultaneously. First, the simultaneous two-boundary segmentation problem is modeled as a two-slice, 3-D surface segmentation problem, which is further converted into the problem of computing a minimum closed set in a node-weighted graph. An initial segmentation is generated from a vessel probability image. We use the REVIEW database to evaluate diameter measurement performance. The algorithm is robust and estimates the vessel width with subpixel accuracy. The method is used to explore the relationship between the average vessel width and the distance from the optic disc in 600 subjects.

Retinal Vessels - pathology

Reproducibility of Results

Algorithms

Fluorescein Angiography - methods

Humans

Image Interpretation, Computer-Assisted - methods

Sensitivity and Specificity

Imaging, Three-Dimensional - methods

Image Enhancement - methods

Retinoscopy - methods

Diabetic Retinopathy - pathology

Pattern Recognition, Automated - methods

Details

Title: Subtitle: Vessel boundary delineation on fundus images using graph-based approach
Creators: Xiayu Xu - Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA
Meindert Niemeijer
Qi Song
Milan Sonka
Mona K Garvin
Joseph M Reinhardt
Michael D Abràmoff
Resource Type: Journal article
Publication Details: IEEE transactions on medical imaging, Vol.30(6), pp.1184-1191
DOI: 10.1109/TMI.2010.2103566
PMID: 21216707
PMCID: PMC3137950
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: Institute of Electrical and Electronics Engineers; United States
Grant note: R01 EB004640 / NIBIB NIH HHS R01 EY017066 / NEI NIH HHS R01 EY018853 / NEI NIH HHS R01 EY019112 / NEI NIH HHS R01 EY017066-01 / NEI NIH HHS R01 EB004640-06 / NIBIB NIH HHS
Language: English
Date published: 06/2011
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9983806281002771

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