Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation

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 Do...

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Bibliographic Details
Published in:Optics express Vol. 18; no. 18; pp. 19413 - 19428
Main Authors: Chiu, Stephanie J., Li, Xiao T., Nicholas, Peter, Toth, Cynthia A., Izatt, Joseph A., Farsiu, Sina
Format: Journal Article
Language:English
Published: United States Optical Society of America 30.08.2010
Subjects:
Algorithms
Automatic Data Processing
Computers
Diagnostic Techniques, Ophthalmological
Humans
Image Processing, Computer-Assisted - methods
Imaging, Three-Dimensional
Observer Variation
Optics and Photonics
Retina - pathology
Retina - physiology
Retinal Neurons - pathology
Software
Tomography, Optical Coherence - methods
ISSN:1094-4087, 1094-4087
Online Access:Get full text
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Summary: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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ISSN:1094-4087
1094-4087
DOI:10.1364/OE.18.019413