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Segmentation of ophthalmic Optical Coherence Tomography images using graph cuts

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Li, XT; Chiu, SJ; Nicholas, P; Toth, CA; Izatt, JA; Farsiu, S
December 1, 2010

We describe an efficient approach for the automated segmentation of pathological/morphological structures in ophthalmic Spectral Domain Optical Coherence Tomography (SDOCT) images. In this algorithm, image pixels are treated as nodes of a graph with edge weights assigned to associate pairs of pixels. The weights vary according to the distances, brightness differences, and feature variations between pixel pairs. Cuts through the graph with minimum accumulated weights correspond to morphological layer boundaries. This approach has been applied to SDOCT images with encouraging results and thus forms an adaptable framework for the segmentation of many different ophthalmic structures. © 2010 SPIE.

Duke Scholars

DOI

ISBN

9780819479464

Publication Date

December 1, 2010

Volume

7550
 

Citation

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Li, X. T., Chiu, S. J., Nicholas, P., Toth, C. A., Izatt, J. A., & Farsiu, S. (2010). Segmentation of ophthalmic Optical Coherence Tomography images using graph cuts (Vol. 7550). https://doi.org/10.1117/12.842299
Li, X. T., S. J. Chiu, P. Nicholas, C. A. Toth, J. A. Izatt, and S. Farsiu. “Segmentation of ophthalmic Optical Coherence Tomography images using graph cuts,” Vol. 7550, 2010. https://doi.org/10.1117/12.842299.
Li XT, Chiu SJ, Nicholas P, Toth CA, Izatt JA, Farsiu S. Segmentation of ophthalmic Optical Coherence Tomography images using graph cuts. In 2010.
Li, X. T., et al. Segmentation of ophthalmic Optical Coherence Tomography images using graph cuts. Vol. 7550, 2010. Scopus, doi:10.1117/12.842299.
Li XT, Chiu SJ, Nicholas P, Toth CA, Izatt JA, Farsiu S. Segmentation of ophthalmic Optical Coherence Tomography images using graph cuts. 2010.
Journal cover image

DOI

ISBN

9780819479464

Publication Date

December 1, 2010

Volume

7550