Paper Info
Title
Glaucoma diagnosis by mapping macula with Fourier domain optical coherence tomography
Abstract
A new image segmentation method was developed to detect macular retinal sub-layers boundary on newly-developed Fourier-Domain Optical Coherence Tomography (FD-OCT) with macular grid scan pattern. The segmentation results were used to create thickness map of macular ganglion cell complex (GCC), which contains the ganglion cell dendrites, cell bodies and axons. Overall average and several pattern analysis parameters were defined on the GCC thickness map and compared for the diagnosis of glaucoma. Intraclass correlation (ICC) is used to compare the reproducibility of the parameters. Area under receiving operative characteristic curve (AROC) was calculated to compare the diagnostic power. The result is also compared to the output of clinical time-domain OCT (TD-OCT). We found that GCC based parameters had good repeatability and comparable diagnostic power with circumpapillary nerve fiber layer (cpNFL) thickness. Parameters based on pattern analysis can increase the diagnostic power of GCC macular mapping.
Year
DOI
Venue
2008
10.1117/12.769882
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
Fourier-Domain Optical Coherence Tomography,image segmentation,macular mapping,glaucoma,pattern analysis,ganglion cell complex
Biomedical engineering,Reproducibility,Glaucoma,Optical coherence tomography,Nerve fiber layer,Segmentation,Computer science,Optics,Image segmentation,Ganglion,Repeatability
Conference
Volume
ISSN
Citations 
6915
0277-786X
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
ou tan100.34
ake lu200.34
vik chopra300.34
rohit varma421723.57
ishikawa hiroshi500.34
Joel S Schuman6638.75
david huang700.34