Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation.
Journal Article (Journal Article)
Segmentation of anatomical and pathological structures in ophthalmic images is crucial for the diagnosis and study of ocular diseases. However, manual segmentation is often a time-consuming and subjective process. This paper presents an automatic approach for segmenting retinal layers in Spectral Domain Optical Coherence Tomography images using graph theory and dynamic programming. Results show that this method accurately segments eight retinal layer boundaries in normal adult eyes more closely to an expert grader as compared to a second expert grader.
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Duke Authors
Cited Authors
- Chiu, SJ; Li, XT; Nicholas, P; Toth, CA; Izatt, JA; Farsiu, S
Published Date
- August 30, 2010
Published In
Volume / Issue
- 18 / 18
Start / End Page
- 19413 - 19428
PubMed ID
- 20940837
Pubmed Central ID
- PMC3408910
Electronic International Standard Serial Number (EISSN)
- 1094-4087
Digital Object Identifier (DOI)
- 10.1364/OE.18.019413
Language
- eng
Conference Location
- United States