Glaucoma diagnosis by mapping macula with fourier domain optical coherence tomography

Ou Tan, Ake Lu, Vik Chopra, Rohit Vanna, Ishikawa Hiroshi, Joel Schuman, David Huang

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


    A new image segmentation method was developed to detect macular retinal sub-layers boundary on newly-developed Fourier-Domain Optical Coherence Tomography (FD-OCT) with macular grid scan pattern. The segmentation results were used to create thickness map of macular ganglion cell complex (GCC), which contains the ganglion cell dendrites, cell bodies and axons. Overall average and several pattern analysis parameters were defined on the GCC thickness map and compared for the diagnosis of glaucoma. Intraclass correlation (ICC) is used to compare the reproducibility of the parameters. Area under receiving operative characteristic curve (AROC) was calculated to compare the diagnostic power. The result is also compared to the output of clinical time-domain OCT (TD-OCT). We found that GCC based parameters had good repeatability and comparable diagnostic power with circumpapillary nerve fiber layer (cpNFL) thickness. Parameters based on pattern analysis can increase the diagnostic power of GCC macular mapping.

    Original languageEnglish (US)
    Title of host publicationMedical Imaging 2008 - Computer-Aided Diagnosis
    StatePublished - 2008
    EventMedical Imaging 2008 - Computer-Aided Diagnosis - San Diego, CA, United States
    Duration: Feb 19 2008Feb 21 2008

    Publication series

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


    ConferenceMedical Imaging 2008 - Computer-Aided Diagnosis
    Country/TerritoryUnited States
    CitySan Diego, CA


    • Fourier-domain optical coherence tomography
    • Ganglion cell complex
    • Glaucoma
    • Image segmentation
    • Macular mapping
    • Pattern analysis

    ASJC Scopus subject areas

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


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