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Thickness mapping of eleven retinal layers segmented using the diffusion maps method in normal eyes
Raheleh Kafieh1, Hossein Rabbani2, Fedra Hajizadeh3
1Biomedical Engineering Department, Medical Image & Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan 81745, Iran ; Faculty of Engineering and Natural Sciences, Sabanci University, 34956 Istanbul, Turkey.
Journal of Ophthalmology
|May 12, 2015
Summary
This study maps retinal layer thickness in normal subjects using spectral domain optical coherence tomography (SD-OCT). Thickness varies by age and sex, with men showing greater thickness in some areas.
Area of Science:
- Ophthalmology
- Medical Imaging
- Retinal Imaging
Background:
- Accurate mapping of retinal layer thickness is crucial for understanding ocular health.
- Spectral domain optical coherence tomography (SD-OCT) is a key technology for in vivo retinal imaging.
- Variations in retinal thickness can be influenced by demographic factors like age and sex.
Purpose of the Study:
- To create a detailed thickness map of eleven retinal layers in normal subjects.
- To investigate the association between retinal layer thickness, sex, and age.
- To utilize advanced 3D image analysis for precise retinal layer segmentation.
Main Methods:
- Employed spectral domain optical coherence tomography (SD-OCT) for retinal imaging.
- Applied a 3D intraretinal fast layer segmentation method based on regional image texture.
- Analyzed thickness maps across 9 macular sectors defined by ETDRS guidelines in 112 normal eyes.
Main Results:
- Identified specific macular sectors and retinal layers with minimum and maximum thickness.
- Observed significant differences in total retinal thickness and layer 1 thickness between men and women (temporal and inferior quadrants).
- Found significant correlations between total retinal thickness and age in multiple sectors, and between age and layers 1 and 4 thickness.
Conclusions:
- Established normative thickness maps for eleven retinal layers in a healthy Iranian population.
- Demonstrated significant sex-based differences in retinal layer thickness, particularly in men.
- Highlighted age-related variations in retinal thickness, suggesting its utility as a biomarker.
