• DocumentCode
    3075798
  • Title

    Elliptical local vessel density: A fast and robust quality metric for retinal images

  • Author

    Giancardo, L. ; Abràmoff, M.D. ; Chaum, E. ; Karnowski, T.P. ; Meriaudeau, F. ; Tobin, K.W., Jr.

  • Author_Institution
    European VIBOT program, France
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    3534
  • Lastpage
    3537
  • Abstract
    A great effort of the research community is geared towards the creation of an automatic screening system able to promptly detect diabetic retinopathy with the use of fundus cameras. In addition, there are some documented approaches for automatically judging the image quality. We propose a new set of features independent of field of view or resolution to describe the morphology of the patient´s vessels. Our initial results suggest that these features can be used to estimate the image quality in a time one order of magnitude shorter than previous techniques.
  • Keywords
    Blindness; Cameras; Cities and towns; Diabetes; Diseases; Image quality; Laboratories; Retina; Retinopathy; Robustness; Algorithms; Automatic Data Processing; Automation; Diabetic Retinopathy; Humans; Image Enhancement; Models, Statistical; Optic Disk; Reproducibility of Results; Retina; Retinal Diseases; Retinal Vessels; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Time Factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4649968
  • Filename
    4649968