Kajic, Vedran, Esmaeelpour Hajyar, Marieh, Povazay, Boris, Marshall, Andrew David  ORCID: https://orcid.org/0000-0003-2789-1395, Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884 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: | Schools > Optometry and Vision Sciences Schools > 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: | 06 Apr 2024 17:14 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/27585 |
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