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PLoS One. 2017 Aug 17;12(8):e0181059. doi: 10.1371/journal.pone.0181059. eCollection 2017.

Automated segmentation of mouse OCT volumes (ASiMOV): Validation & clinical study of a light damage model.

Author information

1
Electrical and Computer Engineering, Johns Hopkins University, Baltimore MD 21218 United States of America.
2
Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore MD 21287 United States of America.
3
Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD 21287 United States of America.
4
Department of Molecular Biology and Genetics, The Johns Hopkins University School of Medicine, Baltimore, MD 21287 United States of America.
5
Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD 21287 United States of America.

Abstract

The use of spectral-domain optical coherence tomography (SD-OCT) is becoming commonplace for the in vivo longitudinal study of murine models of ophthalmic disease. Longitudinal studies, however, generate large quantities of data, the manual analysis of which is very challenging due to the time-consuming nature of generating delineations. Thus, it is of importance that automated algorithms be developed to facilitate accurate and timely analysis of these large datasets. Furthermore, as the models target a variety of diseases, the associated structural changes can also be extremely disparate. For instance, in the light damage (LD) model, which is frequently used to study photoreceptor degeneration, the outer retina appears dramatically different from the normal retina. To address these concerns, we have developed a flexible graph-based algorithm for the automated segmentation of mouse OCT volumes (ASiMOV). This approach incorporates a machine-learning component that can be easily trained for different disease models. To validate ASiMOV, the automated results were compared to manual delineations obtained from three raters on healthy and BALB/cJ mice post LD. It was also used to study a longitudinal LD model, where five control and five LD mice were imaged at four timepoints post LD. The total retinal thickness and the outer retina (comprising the outer nuclear layer, and inner and outer segments of the photoreceptors) were unchanged the day after the LD, but subsequently thinned significantly (p < 0.01). The retinal nerve fiber-ganglion cell complex and the inner plexiform layers, however, remained unchanged for the duration of the study.

PMID:
28817571
PMCID:
PMC5560565
DOI:
10.1371/journal.pone.0181059
[Indexed for MEDLINE]
Free PMC Article

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