Automated retinal layer segmentation and characterization

Jonathan Luisi, David Briley, Adam Boretsky, Massoud Motamedi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    Spectral Domain Optical Coherence Tomography (SD-OCT) is a valuable diagnostic tool in both clinical and research settings. The depth-resolved intensity profiles generated by light backscattered from discrete layers of the retina provide a non-invasive method of investigating progressive diseases and injury within the eye. This study demonstrates the application of steerable convolution filters capable of automatically separating gradient orientations to identify edges and delineate tissue boundaries. The edge maps were recombined to measure thickness of individual retinal layers. This technique was successfully applied to longitudinally monitor changes in retinal morphology in a mouse model of laser-induced choroidal neovascularization (CNV) and human data from age-related macular degeneration patients. The steerable filters allow for direct segmentation of noisy images, while novel recombination of weaker segmentations allow for denoising post-segmentation. The segmentation before denoising strategy allows the rapid detection of thin retinal layers even under suboptimal imaging conditions..

    Original languageEnglish (US)
    Title of host publicationTranslational Biophotonics
    ISBN (Print)9780819496263
    StatePublished - Jan 1 2014
    EventTranslational Biophotonics - Houston, TX, United States
    Duration: May 19 2014May 20 2014

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    ISSN (Print)1605-7422


    OtherTranslational Biophotonics
    Country/TerritoryUnited States
    CityHouston, TX

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Biomaterials
    • Atomic and Molecular Physics, and Optics
    • Radiology Nuclear Medicine and imaging


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