ArticleTranslational vision science & technology2014
Automated 3D Segmentation of Intraretinal Surfaces in SD-OCT Volumes in Normal and Diabetic Mice.
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 12 papers.
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Who cites it
12 citing papers in PubMed.
- Integrating Retinal Segmentation Metrics with Machine Learning for Predictions from Mouse SD-OCT Scans.Current eye research · 2025Article
- Correlation of Visual System Biomarkers With Motor Deficits in Experimental Autoimmune Encephalomyelitis-Optic Neuritis.Translational vision science & technology · 2024Article
- Biological Correlations and Confounders for Quantification of Retinal Ganglion Cells by Optical Coherence Tomography Based on Studies of Outbred Mice.Translational vision science & technology · 2022Article
- Effects of high-fat diet and Apoe deficiency on retinal structure and function in mice.Scientific reports · 2020Article
- Systemic Mesenchymal Stem Cell Treatment Mitigates Structural and Functional Retinal Ganglion Cell Degeneration in a Mouse Model of Multiple Sclerosis.Translational vision science & technology · 2020Article
- Monitoring retinal changes with optical coherence tomography predicts neuronal loss in experimental autoimmune encephalomyelitis.Journal of neuroinflammation · 2019Article
- A Population Study of Common Ocular Abnormalities in C57BL/6N rd8 Mice.Investigative ophthalmology & visual science · 2018Article
- Assessment of Global and Local Alterations in Retinal Layer Thickness in Ins2 (Akita) Diabetic Mice by Spectral Domain Optical Coherence Tomography.Journal of ophthalmology · 2018Article
- Automated segmentation of mouse OCT volumes (ASiMOV): Validation & clinical study of a light damage model.PloS one · 2017Article
- Retinal neurodegeneration may precede microvascular changes characteristic of diabetic retinopathy in diabetes mellitus.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Quantitative Analysis of Mouse Retinal Layers Using Automated Segmentation of Spectral Domain Optical Coherence Tomography Images.Translational vision science & technology · 2015Article
- In vivo wide-field multispectral scanning laser ophthalmoscopy-optical coherence tomography mouse retinal imager: longitudinal imaging of ganglion cells, microglia, and Müller glia, and mapping of the mouse retinal and choroidal vasculature.Journal of biomedical optics · 2015Article
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Authors and funding
6 authors.
Funding
Abstract
purposeTo describe an adaptation of an existing graph-theoretic method (initially developed for human optical coherence tomography [OCT] images) for the three-dimensional (3D) automated segmentation of 10 intraretinal surfaces in mice scans, and assess the accuracy of the method and the reproducibility of thickness measurements.
methodsTen intraretinal surfaces were segmented in repeat spectral domain (SD)-OCT volumetric images acquired from normal (
resultsThe overall mean unsigned border position error for the 10 surfaces computed over 97 B-scans (10 scans, 10 normal mice) was 3.16 ± 0.91 μm. The overall mean differences in retinal thicknesses computed from the normal and diabetic mice were 1.86 ± 0.95 and 2.15 ± 0.86 μm, respectively. The CV of the retinal thicknesses for all the measured layers ranged from 1.04% to 5%. The ICCs for the total retinal thickness in the normal and diabetic mice were 0.78 [0.10, 0.92] and 0.83 [0.31, 0.96], respectively.
conclusionThe presented method (publicly available as part of the Iowa Reference Algorithms) has acceptable accuracy and reproducibility and is expected to be useful in the quantitative study of intraretinal layers in mice. TRANSLATIONAL RELEVANCE: The presented method, initially developed for human OCT, has been adapted for mice, with the potential to be adapted for other animals as well. Quantitative in vivo assessment of the retina in mice allows changes to be measured longitudinally, decreasing the need for them.
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