Journal article
Thickness mapping of eleven retinal layers segmented using the diffusion maps method in normal eyes
Journal of Ophthalmology, Vol.2015, 259123
2015
DOI: 10.1155/2015/259123
PMCID: PMC4417595
PMID: 25960888
Abstract
This study was conducted to determine the thickness map of eleven retinal layers in normal subjects by spectral domain optical coherence tomography (SD-OCT) and evaluate their association with sex and age. Mean regional retinal thickness of 11 retinal layers was obtained by automatic three-dimensional diffusion map based method in 112 normal eyes of 76 Iranian subjects. We applied our previously reported 3D intraretinal fast layer segmentation which does not require edge-based image information but rather relies on regional image texture. The thickness maps are compared among 9 macular sectors within 3 concentric circles as defined by ETDRS. The thickness map of central foveal area in layers 1, 3, and 4 displayed the minimum thickness. Maximum thickness was observed in nasal to the fovea of layer 1 and in a circular pattern in the parafoveal retinal area of layers 2, 3, and 4 and in central foveal area of layer 6. Temporal and inferior quadrants of the total retinal thickness and most of other quadrants of layer 1 were significantly greater in the men than in the women. Surrounding eight sectors of total retinal thickness and a limited number of sectors in layers 1 and 4 significantly correlated with age.
Details
- Title: Subtitle
- Thickness mapping of eleven retinal layers segmented using the diffusion maps method in normal eyes
- Creators
- Raheleh KafiehHossein RabbaniMilan SonkaFedra HajizadehMichael D Abramoff
- Resource Type
- Journal article
- Publication Details
- Journal of Ophthalmology, Vol.2015, 259123
- DOI
- 10.1155/2015/259123
- PMID
- 25960888
- PMCID
- PMC4417595
- NLM abbreviation
- J Ophthalmol
- ISSN
- 2090-0058
- eISSN
- 2090-0058
- Grant note
- DOI: 10.13039/100000002, name: National Institutes of Health, award: R01 EY018853, R01 EY019112, R01 EB004640
- Language
- English
- Date published
- 2015
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9983806392202771
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