VAMPIRE: Vessel Assessment and Measurement Platform for Images of the REtina

A. Perez-Rovira, T. MacGillivray, E. Trucco, K. S. Chin, K. Zutis, C. Lupascu, D. Tegolo, A. Giachetti, P. J. Wilson, A. Doney, B. Dhillon

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

    49 Citations (Scopus)

    Abstract

    We present VAMPIRE, a software application for efficient, semi-automatic quantification of retinal vessel properties with large collections of fundus camera images. VAMPIRE is also an international collaborative project of four image processing groups and five clinical centres. The system provides automatic detection of retinal landmarks (optic disc, vasculature), and quantifies key parameters used frequently in investigative studies: vessel width, vessel branching coefficients, and tortuosity. The ultimate vision is to make VAMPIRE available as a public tool, to support quantification and analysis of large collections of fundus camera images.

    Original languageEnglish
    Title of host publicationEngineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
    Place of PublicationNew York
    PublisherIEEE Computer Society
    Pages3391-3394
    Number of pages4
    ISBN (Print)9781424441228
    DOIs
    Publication statusPublished - 2011
    Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Boston, United States
    Duration: 30 Aug 20113 Sep 2011

    Conference

    Conference33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Abbreviated titleEMBC 2011
    CountryUnited States
    CityBoston
    Period30/08/113/09/11

    Keywords

    • MICROVASCULAR ABNORMALITIES
    • FRACTAL ANALYSIS
    • FUNDUS IMAGES
    • SEGMENTATION
    • STROKE

    Cite this

    Perez-Rovira, A., MacGillivray, T., Trucco, E., Chin, K. S., Zutis, K., Lupascu, C., Tegolo, D., Giachetti, A., Wilson, P. J., Doney, A., & Dhillon, B. (2011). VAMPIRE: Vessel Assessment and Measurement Platform for Images of the REtina. In Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE (pp. 3391-3394). IEEE Computer Society. https://doi.org/10.1109/IEMBS.2011.6090918