期刊
BIOMEDICAL OPTICS EXPRESS
卷 2, 期 6, 页码 1524-1538出版社
OPTICAL SOC AMER
DOI: 10.1364/BOE.2.001524
关键词
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资金
- Duke Pratt Fellowship Program
- Duke Grand Challenge Scholars Program
- NIH [K12-EY01633305, R21-EY020001]
- Research to Prevent Blindness
- Wallace H. Coulter Translational Partners Grant Program
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. (C)2011 Optical Society of America
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