Automated detection of retinal layer structures on optical coherence tomography images

Delia Cabrera DeBuc, Harry M. Salinas, Carmen A. Puliafito

Research output: Contribution to journalArticle

228 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)10200-10216
Number of pages17
JournalOptics Express
Volume13
Issue number25
DOIs
StatePublished - Dec 12 2005

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tomography
retina
textures
tensors
augmentation

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Automated detection of retinal layer structures on optical coherence tomography images. / Cabrera DeBuc, Delia; Salinas, Harry M.; Puliafito, Carmen A.

In: Optics Express, Vol. 13, No. 25, 12.12.2005, p. 10200-10216.

Research output: Contribution to journalArticle

Cabrera DeBuc, Delia ; Salinas, Harry M. ; Puliafito, Carmen A. / Automated detection of retinal layer structures on optical coherence tomography images. In: Optics Express. 2005 ; Vol. 13, No. 25. pp. 10200-10216.
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