3D optical coherence tomography super pixel with machine classifier analysis for glaucoma detection

Juan Xu, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman

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

    Abstract

    Current standard quantitative 3D spectral-domain optical coherence tomography (SD-OCT) analyses of various ocular diseases is limited in detecting structural damage at early pathologic stages. This is mostly because only a small fraction of the 3D data is used in the current method of quantifying the structure of interest. This paper presents a novel SD-OCT data analysis technique, taking full advantage of the 3D dataset. The proposed algorithm uses machine classifier to analyze SD-OCT images after grouping adjacent pixels into super pixel in order to detect glaucomatous damage. A 3D SD-OCT image is first converted into a 2D feature map and partitioned into over a hundred super pixels. Machine classifier analysis using boosting algorithm is performed on super pixel features. One hundred and ninety-two 3D OCT images of the optic nerve head region were tested. Area under the receiver operating characteristic (AUC) was computed to evaluate the glaucoma discrimination performance of the algorithm and compare it to the commercial software output. The AUC of normal vs glaucoma suspect eyes using the proposed method was statistically significantly higher than the current method (0.855 and 0.707, respectively, p=0.031). This new method has the potential to improve early detection of glaucomatous structural damages.

    Original languageEnglish (US)
    Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
    Pages3395-3398
    Number of pages4
    DOIs
    StatePublished - Dec 26 2011
    Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
    Duration: Aug 30 2011Sep 3 2011

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    ISSN (Print)1557-170X

    Other

    Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
    CountryUnited States
    CityBoston, MA
    Period8/30/119/3/11

    Keywords

    • 3D OCT
    • Glaucoma Analysis
    • Retinal Image Processing
    • Super Pixel

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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  • Cite this

    Xu, J., Ishikawa, H., Wollstein, G., & Schuman, J. S. (2011). 3D optical coherence tomography super pixel with machine classifier analysis for glaucoma detection. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 3395-3398). [6090919] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6090919