Vessel Boundary Delineation on Fundus Images Using Graph-Based Approach

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 furt...

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Vydáno v:IEEE transactions on medical imaging Ročník 30; číslo 6; s. 1184 - 1191
Hlavní autoři: Xiayu Xu, Niemeijer, M, Qi Song, Sonka, M, Garvin, M K, Reinhardt, J M, Abramoff, M D
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.06.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Biomedical imaging
Blood vessels
Boundaries
Delineation
Diabetic Retinopathy - pathology
Discs
Fluorescein Angiography - methods
Graph-based segmentation
Humans
Image edge detection
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image segmentation
Imaging, Three-Dimensional - methods
Observers
Pattern Recognition, Automated - methods
Pixel
Reproducibility of Results
Retina
retinal photography
Retinal Vessels - pathology
Retinoscopy - methods
Segmentation
Segments
Sensitivity and Specificity
vessel width measurement
ISSN:0278-0062, 1558-254X, 1558-254X
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Shrnutí: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.
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ISSN:0278-0062
1558-254X
1558-254X
DOI:10.1109/TMI.2010.2103566