Retinal vessel segmentation on SLO image

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

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

    Abstract

    A scanning laser ophthalmoscopy (SLO) image, taken from optical coherence tomography (OCT), usually has lower global/local contrast and more noise compared to the traditional retinal photograph, which makes the vessel segmentation challenging work. A hybrid algorithm is proposed to efficiently solve these problems by fusing several designed methods, taking the advantages of each method and reducing the error measurements. The algorithm has several steps consisting of image preprocessing, thresholding probe and weighted fusing. Four different methods are first designed to transform the SLO image into feature response images by taking different combinations of matched filter, contrast enhancement and mathematical morphology operators. A thresholding probe algorithm is then applied on those response images to obtain four vessel maps. Weighted majority opinion is used to fuse these vessel maps and generate a final vessel map. The experimental results showed that the proposed hybrid algorithm could successfully segment the blood vessels on SLO images, by detecting the major and small vessels and suppressing the noises. The algorithm showed substantial potential in various clinical applications. The use of this method can be also extended to medical image registration based on blood vessel location.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
    PublisherIEEE Computer Society
    Pages2258-2261
    Number of pages4
    ISBN (Print)9781424418152
    DOIs
    StatePublished - 2008
    Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
    Duration: Aug 20 2008Aug 25 2008

    Publication series

    NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

    Other

    Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
    CountryCanada
    CityVancouver, BC
    Period8/20/088/25/08

    Keywords

    • Hybrid algorithm
    • Retina
    • SLO image
    • Vessel segmentation

    ASJC Scopus subject areas

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

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  • Cite this

    Xu, J., Ishikawa, H., Wollstein, G., & Schuman, J. S. (2008). Retinal vessel segmentation on SLO image. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 (pp. 2258-2261). [4649646] (Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"). IEEE Computer Society. https://doi.org/10.1109/iembs.2008.4649646