Vessel boundary delineation on fundus images using graph-based approach

IEEE Trans Med Imaging. 2011 Jun;30(6):1184-91. doi: 10.1109/TMI.2010.2103566. Epub 2011 Jan 6.


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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms*
  • Diabetic Retinopathy / pathology*
  • Fluorescein Angiography / methods*
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods*
  • Imaging, Three-Dimensional / methods*
  • Pattern Recognition, Automated / methods*
  • Reproducibility of Results
  • Retinal Vessels / pathology*
  • Retinoscopy / methods
  • Sensitivity and Specificity