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Automated choroidal segmentation of 1060 nm OCT in healthy and pathologic eyes using a statistical model

Kajic, Vedran, Esmaeelpour Hajyar, Marieh, Povazay, Boris, Marshall, Andrew David, Rosin, Paul L. and Drexler, Wolfgang 2012. Automated choroidal segmentation of 1060 nm OCT in healthy and pathologic eyes using a statistical model. Biomedical Optics Express 3 (1) , pp. 86-103. 10.1364/BOE.3.000086

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Abstract

A two stage statistical model based on texture and shape for fully automatic choroidal segmentation of normal and pathologic eyes obtained by a 1060 nm optical coherence tomography (OCT) system is developed. A novel dynamic programming approach is implemented to determine location of the retinal pigment epithelium/ Bruch’s membrane /choriocapillaris (RBC) boundary. The choroid–sclera interface (CSI) is segmented using a statistical model. The algorithm is robust even in presence of speckle noise, low signal (thick choroid), retinal pigment epithelium (RPE) detachments and atrophy, drusen, shadowing and other artifacts. Evaluation against a set of 871 manually segmented cross-sectional scans from 12 eyes achieves an average error rate of 13%, computed per tomogram as a ratio of incorrectly classified pixels and the total layer surface. For the first time a fully automatic choroidal segmentation algorithm is successfully applied to a wide range of clinical volumetric OCT data.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Optometry and Vision Sciences
Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RE Ophthalmology
Additional Information: Pdf uploaded in accordance with publisher's policy at http://www.sherpa.ac.uk/romeo/issn/2156-7085/ (accessed 24/04/2014).
Publisher: OSA
ISSN: 2156-7085
Date of First Compliant Deposit: 30 March 2016
Last Modified: 08 Aug 2019 20:17
URI: http://orca-mwe.cf.ac.uk/id/eprint/27585

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