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dc.contributor.author Chiu, SJ
dc.contributor.author Li, XT
dc.contributor.author Nicholas, P
dc.contributor.author Toth, CA
dc.contributor.author Izatt, JA
dc.contributor.author Farsiu, S
dc.coverage.spatial United States
dc.date.accessioned 2011-06-21T17:27:43Z
dc.date.issued 2010-08-30
dc.identifier http://www.ncbi.nlm.nih.gov/pubmed/20940837
dc.identifier 205410
dc.identifier.citation Opt Express, 2010, 18 (18), pp. 19413 - 19428
dc.identifier.uri http://hdl.handle.net/10161/4238
dc.description.abstract 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.
dc.format.extent 19413 - 19428
dc.language eng
dc.language.iso en_US en_US
dc.relation.ispartof Opt Express
dc.subject Algorithms
dc.subject Automatic Data Processing
dc.subject Computers
dc.subject Diagnostic Techniques, Ophthalmological
dc.subject Humans
dc.subject Image Processing, Computer-Assisted
dc.subject Imaging, Three-Dimensional
dc.subject Observer Variation
dc.subject Optics and Photonics
dc.subject Retina
dc.subject Retinal Neurons
dc.subject Software
dc.subject Tomography, Optical Coherence
dc.title Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation.
dc.title.alternative en_US
dc.type Journal Article
dc.description.version Version of Record en_US
duke.date.pubdate 2010-8-30 en_US
duke.description.endpage 19428 en_US
duke.description.issue 18 en_US
duke.description.startpage 19413 en_US
duke.description.volume 18 en_US
dc.relation.journal Optics Express en_US
pubs.author-url http://www.ncbi.nlm.nih.gov/pubmed/20940837
pubs.issue 18
pubs.organisational-group /Duke
pubs.organisational-group /Duke/Institutes and Provost's Academic Units
pubs.organisational-group /Duke/Institutes and Provost's Academic Units/University Institutes and Centers
pubs.organisational-group /Duke/Institutes and Provost's Academic Units/University Institutes and Centers/Duke Institute for Brain Sciences
pubs.organisational-group /Duke/Pratt School of Engineering
pubs.organisational-group /Duke/Pratt School of Engineering/Biomedical Engineering
pubs.organisational-group /Duke/Pratt School of Engineering/Electrical and Computer Engineering
pubs.organisational-group /Duke/School of Medicine
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Ophthalmology
pubs.organisational-group /Duke/School of Medicine/Clinical Science Departments/Ophthalmology/Ophthalmology, Vitreoretinal Diseases & Surgery
pubs.organisational-group /Duke/Trinity College of Arts & Sciences
pubs.organisational-group /Duke/Trinity College of Arts & Sciences/Computer Science
pubs.publication-status Published
pubs.volume 18
dc.identifier.eissn 1094-4087

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