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 publication2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
    Place of PublicationNEW YORK
    PublisherIEEE
    Pages3391-3394
    Number of pages4
    ISBN (Print)978-1-4244-4122-8
    DOIs
    Publication statusPublished - 2011
    Event33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society - Boston
    Duration: 30 Aug 20113 Sep 2011

    Conference

    Conference33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society
    Abbreviated titleEMBS
    CityBoston
    Period30/08/113/09/11

    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 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) (pp. 3391-3394). IEEE. https://doi.org/10.1109/IEMBS.2011.6090918