| Automated segmentation of neural canal opening and optic cup in 3D spectral optical coherence tomography volumes of the optic nerve head. | |
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MedLine Citation:
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PMID: 20554616 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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PURPOSE: To develop an automated approach for segmenting the neural canal opening (NCO) and cup at the level of the retinal pigment epithelium (RPE)/Bruch's membrane (BM) complex in spectral-domain optical coherence tomography (SD-OCT) volumes. To investigate the correspondence and discrepancy between the NCO-based metrics and the clinical disc margin on fundus photographs of glaucoma subjects. METHODS: SD-OCT scans and corresponding stereo fundus photographs of the optic nerve head were obtained from 68 eyes of 34 patients with glaucoma or glaucoma suspicion. Manual planimetry was performed by three glaucoma experts to delineate a reference standard (RS) for cup and disc margins from the images. An automated graph-theoretic approach was used to identify the NCO and cup. NCO-based metrics were compared with the RS. RESULTS: Compared with the RS disc margin, the authors found mean unsigned and signed border differences of 2.81 ± 1.48 pixels (0.084 ± 0.044 mm) and -0.99 ± 2.02 pixels (-0.030 ± 0.061 mm), respectively, for NCO segmentation. The correlations of the linear cup-to-disc (NCO) area ratio, disc (NCO) area, rim area, and cup area of the algorithm with the RS were 0.85, 0.77, 0.69, and 0.83, respectively. CONCLUSIONS: In most eyes, the NCO-based 2D metrics, as estimated by the novel automated graph-theoretic approach to segment the NCO and cup at the level of the RPE/BM complex in SD-OCT volumes, correlate well with RS. However, a small discrepancy exists in NCO-based anatomic structures and the clinical disc margin of the RS in some eyes. |
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Authors:
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Zhihong Hu; Michael D Abràmoff; Young H Kwon; Kyungmoo Lee; Mona K Garvin |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. Date: 2010-06-16 |
Journal Detail:
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Title: Investigative ophthalmology & visual science Volume: 51 ISSN: 1552-5783 ISO Abbreviation: Invest. Ophthalmol. Vis. Sci. Publication Date: 2010 Nov |
Date Detail:
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Created Date: 2010-10-28 Completed Date: 2010-12-07 Revised Date: 2011-07-28 |
Medline Journal Info:
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Nlm Unique ID: 7703701 Medline TA: Invest Ophthalmol Vis Sci Country: United States |
Other Details:
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Languages: eng Pagination: 5708-17 Citation Subset: IM |
Affiliation:
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Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa 52242, USA. zhihong-hu@uiowa.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Bruch Membrane / pathology Glaucoma, Angle-Closure / diagnosis* Glaucoma, Open-Angle / diagnosis* Humans Imaging, Three-Dimensional Neural Tube / pathology* Observer Variation Ocular Hypertension / diagnosis Optic Disk / pathology* Retinal Pigment Epithelium / pathology Tomography, Optical Coherence* |
| Grant Support | |
ID/Acronym/Agency:
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EB004640/EB/NIBIB NIH HHS; EY017066/EY/NEI NIH HHS |
| Comments/Corrections | |
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