Open AccessAutomated detection of retinal layer structures on optical coherence tomography images
Author(s) -
Delia Cabrera Fernández,
Harry M. Salinas,
Carmen A. Puliafito
Publication year - 2005
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/opex.13.010200
Subject(s) - optical coherence tomography , retinal , speckle noise , optics , speckle pattern , segmentation , computer science , artificial intelligence , computer vision , image processing , coherence (philosophical gambling strategy) , retina , image segmentation , physics , image (mathematics) , ophthalmology , medicine , quantum mechanics
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 STRATUSOCTTM system.