Journal
MEDICAL PHYSICS
Volume 43, Issue 5, Pages -Publisher
WILEY
DOI: 10.1118/1.4945413
Keywords
vessel extraction; vessel segmentation; fundus; Gabor; Catmull-Rom
Funding
- NHG Clinician Scientist Career Scheme Grant, Singapore [CSCS/12006]
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Purpose: The authors propose an algorithm that automatically extracts retinal vasculature and provides a simple measure to correct the extraction. The output of the method is a network of salient points, and blood vessels are drawn by connecting the salient points using a centripetal parameterized Catmull-Rom spline. Methods: The algorithm starts by background correction. The corrected image is filtered with a bank of Gabor kernels, and the responses are consolidated to form a maximal image. After that, the maximal image is thinned to get a network of 1-pixel lines, analyzed and pruned to locate forks and form branches. Finally, the Ramer-Douglas-Peucker algorithm is used to determine salient points. When extraction is not satisfactory, the user simply shifts the salient points to edit the segmentation. Results: On average, the authors' extractions cover 93% of ground truths (on the Drive database). Conclusions: By expressing retinal vasculature as a series of connected points, the proposed algorithm not only provides a means to edit segmentation but also gives knowledge of the shape of the blood vessels and their connections. (C) 2016 American Association of Physicists in Medicine.
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