• DocumentCode
    3473855
  • Title

    Unified methodology for evaluating vessel tree tortuosity metrics in eye fundus images

  • Author

    Sanchez, L. ; Novo, J. ; Fernandez, Alicia ; Barja, J.M.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of A Coruna, A Coruna, Spain
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    528
  • Lastpage
    529
  • Abstract
    The tortuosity of a vessel, that is, how and how many times it bends, is a relevant measure to diagnose different pathologies. However, there is an important drawback, as each specialist has its own estimation about what a tortuous vessel is, and the process has to be evaluated manually, implying a large and tedious work. Numerous studies had attempted to define a reliable and deterministic measure for this parameter, but employing different approaches, inputs and validation criteria. In this article, we intended to implement a unified methodology that integrates the different metrics and also to establish a comparison among them, employing the same inputs, validation criteria and procedure for the vascular tree extraction.
  • Keywords
    biomedical optical imaging; blood vessels; eye; bending; eye fundus image; pathology diagnosis; pathology measurement; unified methodology; vascular tree extraction; vessel tree tortuosity metric evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on
  • Conference_Location
    Porto
  • Type

    conf

  • DOI
    10.1109/CBMS.2013.6627862
  • Filename
    6627862