Conference proceeding
Automatic determination of the artery vein ratio in retinal images
Proceedings of SPIE, Vol.7624(1), pp.76240I-76240I-10
Medical Imaging 2010: Computer-Aided Diagnosis
03/09/2010
DOI: 10.1117/12.844469
Abstract
A lower ratio between the width of the arteries and veins (Arteriolar-to-Venular diameter Ratio, AVR) on the
retina, is well established to be predictive of stroke and other cardiovascular events in adults, as well as an
increased risk of retinopathy of prematurity in premature infants. This work presents an automatic method that
detects the location of the optic disc, determines the appropriate region of interest (ROI), classifies the vessels
in the ROI into arteries and veins, measures their widths and calculates the AVR. After vessel segmentation
and vessel width determination the optic disc is located and the system eliminates all vessels outside the AVR
measurement ROI. The remaining vessels are thinned, vessel crossing and bifurcation points are removed leaving
a set of vessel segments containing centerline pixels. Features are extracted from each centerline pixel that are
used to assign them a soft label indicating the likelihood the pixel is part of a vein. As all centerline pixels
in a connected segment should be the same type, the median soft label is assigned to each centerline pixel in
the segment. Next artery vein pairs are matched using an iterative algorithm and the widths of the vessels is
used to calculate the AVR. We train and test the algorithm using a set of 25 high resolution digital color fundus
photographs a reference standard that indicates for the major vessels in the images whether they are an artery or
a vein. We compared the AVR values produced by our system with those determined using a computer assisted
method in 15 high resolution digital color fundus photographs and obtained a correlation coefficient of 0.881.
Details
- Title: Subtitle
- Automatic determination of the artery vein ratio in retinal images
- Creators
- Meindert Niemeijer - Univ. Medical Ctr. Utrecht (Netherlands) and The Univ. of Iowa (United States) and Veteran's Administration MC (United States)Bram van Ginneken - Univ. Medical Ctr. Utrecht (Netherlands)Michael D Abràmoff - The Univ. of Iowa (United States) and Veteran's Administration MC (United States)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.7624(1), pp.76240I-76240I-10
- Conference
- Medical Imaging 2010: Computer-Aided Diagnosis
- DOI
- 10.1117/12.844469
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/09/2010
- Academic Unit
- Ophthalmology and Visual Sciences; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984060746302771
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