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Application of Optical Coherence Tomography to a Mouse Model of Retinopathy
Published on: January 12, 2022
Quantification of photoreceptor layer thickness in normal eyes using optical coherence tomography
Annie Chan1, Jay S Duker, Hiroshi Ishikawa
1New England Eye Center, Tufts-New England Medical Center, Tufts University School of Medicine, Boston, Massachusetts 02111-1533, USA.
Retina (Philadelphia, Pa.)
|July 11, 2006
Summary
This study shows that the outer retinal complex (ORC) thickness can be accurately measured in healthy eyes using optical coherence tomography (OCT) imaging. These measurements may help assess treatments for photoreceptor layer diseases.
Area of Science:
- Ophthalmology
- Medical Imaging
Background:
- Accurate segmentation of intraretinal layers is crucial for understanding retinal diseases.
- Optical coherence tomography (OCT) is a key imaging modality for retinal analysis.
Purpose of the Study:
- To evaluate the segmentation and analysis of the outer retinal complex (ORC) in healthy eyes.
- To compare StratusOCT and ultrahigh resolution OCT (UHR-OCT) for ORC measurement.
Main Methods:
- 37 healthy subjects underwent OCT imaging with StratusOCT and UHR-OCT.
- A segmentation algorithm was employed to identify and measure the ORC thickness.
Main Results:
- Mean ORC thickness was 91.1 ± 7.9 µm for StratusOCT and 96.4 ± 6.3 µm for UHR-OCT.
- Mean total retinal thickness was 258.9 ± 10.1 µm (StratusOCT) and 263.4 ± 9.2 µm (UHR-OCT).
- UHR-OCT showed a higher rate of algorithm failure.
Conclusions:
- Macular segmentation algorithms can calculate photoreceptor layer thickness via ORC measurement on OCT images.
- ORC measurements offer an objective parameter for evaluating therapies targeting the photoreceptor layer.
