Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes

Zach Nadler, Bo Wang, Gadi Wollstein, Jessica E. Nevins, Hiroshi Ishikawa, Larry Kagemann, Ian A. Sigal, R. Daniel Ferguson, Daniel X. Hammer, Ireneusz Grulkowski, Jonathan J. Liu, Martin F. Kraus, Chen D. Lu, Joachim Hornegger, James G. Fujimoto, Joel S. Schuman

    Research output: Contribution to journalArticle

    Abstract

    We demonstrate an automated segmentation method for in-vivo 3D optical coherence tomography (OCT) imaging of the lamina cribrosa (LC). Manual segmentations of coronal slices of the LC were used as a gold standard in parameter selection and evaluation of the automated technique. The method was validated using two prototype OCT devices; each had a subject cohort including both healthy and glaucomatous eyes. Automated segmentation of in-vivo 3D LC OCT microstructure performed comparably to manual segmentation and is useful for investigative research and in clinical quantification of the LC.

    Original languageEnglish (US)
    Pages (from-to)2596-2608
    Number of pages13
    JournalBiomedical Optics Express
    Volume4
    Issue number11
    DOIs
    StatePublished - Nov 1 2013

    ASJC Scopus subject areas

    • Biotechnology
    • Atomic and Molecular Physics, and Optics

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  • Cite this

    Nadler, Z., Wang, B., Wollstein, G., Nevins, J. E., Ishikawa, H., Kagemann, L., Sigal, I. A., Daniel Ferguson, R., Hammer, D. X., Grulkowski, I., Liu, J. J., Kraus, M. F., Lu, C. D., Hornegger, J., Fujimoto, J. G., & Schuman, J. S. (2013). Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes. Biomedical Optics Express, 4(11), 2596-2608. https://doi.org/10.1364/BOE.4.002596