Paper
13 March 2006 Optimal segmentation of the optic nerve head from stereo retinal images
Author Affiliations +
Abstract
Early detection of glaucoma is essential to minimizing the risk of visual loss. It has been shown that a good predictor of glaucoma is the cup-to-disc ratio of the optic nerve head. This paper presents a highly automated method to segment the 'rim' (disc) and 'cup' from the optic nerve head in stereo images and calculate the cup-to-disc ratio. In this approach, the optic nerve head is unwrapped in polar coordinates and represented as a graph. Utilizing a novel and efficient graph searching technique for determining globally optimal closed-paths and an intelligent cost function, the rim and the cup are segmented from the stereo images. The results offer a more intuitive quantitative analysis compared to current planimetry-based techniques because the ophthalmologist can view the segmented images along with the derived cup-to-disc ratio.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael B. Merickel Jr., Xiaodong Wu, Milan Sonka, and Michael Abramoff "Optimal segmentation of the optic nerve head from stereo retinal images", Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61433B (13 March 2006); https://doi.org/10.1117/12.657923
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CITATIONS
Cited by 23 scholarly publications.
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KEYWORDS
Image segmentation

Optic nerve

Head

Image processing algorithms and systems

Algorithm development

Photography

Error analysis

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