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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Optics express Jg. 18; H. 18; S. 19413 - 19428
Hauptverfasser: Chiu, Stephanie J., Li, Xiao T., Nicholas, Peter, Toth, Cynthia A., Izatt, Joseph A., Farsiu, Sina
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Optical Society of America 30.08.2010
Schlagworte:
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-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1094-4087
1094-4087
DOI:10.1364/OE.18.019413