Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming.
Publication
, Journal Article
Larocca, F; Chiu, SJ; McNabb, RP; Kuo, AN; Izatt, JA; Farsiu, S
Published in: Biomed Opt Express
June 1, 2011
Segmentation of anatomical structures in corneal images is crucial for the diagnosis and study of anterior segment diseases. However, manual segmentation is a time-consuming and subjective process. This paper presents an automatic approach for segmenting corneal layer boundaries in Spectral Domain Optical Coherence Tomography images using graph theory and dynamic programming. Our approach is robust to the low-SNR and different artifact types that can appear in clinical corneal images. We show that our method segments three corneal layer boundaries in normal adult eyes more accurately compared to an expert grader than a second grader-even in the presence of significant imaging outliers.
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Published In
Biomed Opt Express
DOI
EISSN
2156-7085
Publication Date
June 1, 2011
Volume
2
Issue
6
Start / End Page
1524 / 1538
Location
United States
Related Subject Headings
- 5102 Atomic, molecular and optical physics
- 4003 Biomedical engineering
- 3212 Ophthalmology and optometry
- 0912 Materials Engineering
- 0205 Optical Physics
Citation
APA
Chicago
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MLA
NLM
Larocca, F., Chiu, S. J., McNabb, R. P., Kuo, A. N., Izatt, J. A., & Farsiu, S. (2011). Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming. Biomed Opt Express, 2(6), 1524–1538. https://doi.org/10.1364/BOE.2.001524
Larocca, Francesco, Stephanie J. Chiu, Ryan P. McNabb, Anthony N. Kuo, Joseph A. Izatt, and Sina Farsiu. “Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming.” Biomed Opt Express 2, no. 6 (June 1, 2011): 1524–38. https://doi.org/10.1364/BOE.2.001524.
Larocca F, Chiu SJ, McNabb RP, Kuo AN, Izatt JA, Farsiu S. Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming. Biomed Opt Express. 2011 Jun 1;2(6):1524–38.
Larocca, Francesco, et al. “Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming.” Biomed Opt Express, vol. 2, no. 6, June 2011, pp. 1524–38. Pubmed, doi:10.1364/BOE.2.001524.
Larocca F, Chiu SJ, McNabb RP, Kuo AN, Izatt JA, Farsiu S. Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming. Biomed Opt Express. 2011 Jun 1;2(6):1524–1538.
Published In
Biomed Opt Express
DOI
EISSN
2156-7085
Publication Date
June 1, 2011
Volume
2
Issue
6
Start / End Page
1524 / 1538
Location
United States
Related Subject Headings
- 5102 Atomic, molecular and optical physics
- 4003 Biomedical engineering
- 3212 Ophthalmology and optometry
- 0912 Materials Engineering
- 0205 Optical Physics