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Optics Express

Optics Express

  • Editor: Michael Duncan
  • Vol. 13, Iss. 25 — Dec. 12, 2005
  • pp: 10200–10216

Automated detection of retinal layer structures on optical coherence tomography images

Delia Cabrera Fernández, Harry M. Salinas, and Carmen A. Puliafito  »View Author Affiliations

Optics Express, Vol. 13, Issue 25, pp. 10200-10216 (2005)

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Segmentation of retinal layers from OCT images is fundamental to diagnose the progress of retinal diseases. In this study we show that the retinal layers can be automatically and/or interactively located with good accuracy with the aid of local coherence information of the retinal structure. OCT images are processed using the ideas of texture analysis by means of the structure tensor combined with complex diffusion filtering. Experimental results indicate that our proposed novel approach has good performance in speckle noise removal, enhancement and segmentation of the various cellular layers of the retina using the STRATUSOCT system.

© 2005 Optical Society of America

OCIS Codes
(100.2980) Image processing : Image enhancement
(100.5010) Image processing : Pattern recognition
(110.4500) Imaging systems : Optical coherence tomography

ToC Category:
Research Papers

Virtual Issues
Vol. 1, Iss. 1 Virtual Journal for Biomedical Optics

Delia Cabrera Fernández, Harry M. Salinas, and Carmen A. Puliafito, "Automated detection of retinal layer structures on optical coherence tomography images," Opt. Express 13, 10200-10216 (2005)

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