Journal
IEEE TRANSACTIONS ON MEDICAL IMAGING
Volume 30, Issue 6, Pages 1184-1191Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMI.2010.2103566
Keywords
Graph-based segmentation; retinal photography; vessel width measurement
Categories
Funding
- National Eye Institute [R01 EY017066]
- Department for Veterans Affairs
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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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