ArticleTranslational vision science & technology2014
Optical Coherence Tomography (OCT) Device Independent Intraretinal Layer Segmentation.
Article in Translational vision science & technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Retinal Assessment and the Retina-Choroid Link in Precapillary Pulmonary Hypertension: A Single-Center Cross-Sectional Study.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Deep Learning-Based SD-OCT Layer Segmentation Quantifies Outer Retina Changes in Patients With Biallelic RPE65 Mutations Undergoing Gene Therapy.Investigative ophthalmology & visual science · 2025Article
- Diagnostic Accuracy of Macular Thickness Map and Texture En Face Images for Detecting Glaucoma in Eyes With Axial High Myopia.American journal of ophthalmology · 2022Article
- Fundus-Controlled Dark Adaptometry in Young Children Without and With Spontaneously Regressed Retinopathy of Prematurity.Translational vision science & technology · 2019Article
- Article
- Unexpected Genetic Cause in Two Female Siblings with High Myopia and Reduced Visual Acuity.BioMed research international · 2018Article
- Automated intraretinal segmentation of SD-OCT images in normal and age-related macular degeneration eyes.Biomedical optics express · 2017Article
- Individual Drusen Segmentation and Repeatability and Reproducibility of Their Automated Quantification in Optical Coherence Tomography Images.Translational vision science & technology · 2017Article
- The use of handheld spectral domain optical coherence tomography in pediatric ophthalmology practice: Our experience of 975 infants and children.Indian journal of ophthalmology · 2015Article
- Visual Prognosis of Eyes Recovering From Macular Hole Surgery Through Automated Quantitative Analysis of Spectral-Domain Optical Coherence Tomography (SD-OCT) Scans.Investigative ophthalmology & visual science · 2015Article
- RefMoB, a Reflectivity Feature Model-Based Automated Method for Measuring Four Outer Retinal Hyperreflective Bands in Optical Coherence Tomography.Investigative ophthalmology & visual science · 2015Article
- Normative values of peripheral retinal thickness measured with Spectralis OCT in healthy young adults.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2014Article
- A novel mutation in the RPE65 gene causing Leber congenital amaurosis and its transcriptional expression in vitro.PloS one · 2014Article
- Manual Segmentation of 12 Layers of the Retina and Choroid through SD-OCT in Intermediate AMD: Repeatability and Reproducibility.Journal of ophthalmic & vision researchArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo develop and test an algorithm to segment intraretinal layers irrespectively of the actual Optical Coherence Tomography (OCT) device used.
methodsThe developed algorithm is based on the graph theory optimization. The algorithm's performance was evaluated against that of three expert graders for unsigned boundary position difference and thickness measurement of a retinal layer group in 50 and 41 B-scans, respectively. Reproducibility of the algorithm was tested in 30 C-scans of 10 healthy subjects each with the Spectralis and the Stratus OCT. Comparability between different devices was evaluated in 84 C-scans (volume or radial scans) obtained from 21 healthy subjects, two scans per subject with the Spectralis OCT, and one scan per subject each with the Stratus OCT and the RTVue-100 OCT. Each C-scan was segmented and the mean thickness for each retinal layer in sections of the early treatment of diabetic retinopathy study (ETDRS) grid was measured.
resultsThe algorithm was able to segment up to 11 intraretinal layers. Measurements with the algorithm were within the 95% confidence interval of a single grader and the difference was smaller than the interindividual difference between the expert graders themselves. The cross-device examination of ETDRS-grid related layer thicknesses highly agreed between the three OCT devices. The algorithm correctly segmented a C-scan of a patient with X-linked retinitis pigmentosa.
conclusionsThe segmentation software provides device-independent, reliable, and reproducible analysis of intraretinal layers, similar to what is obtained from expert graders. TRANSLATIONAL RELEVANCE: Potential application of the software includes routine clinical practice and multicenter clinical trials.
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