• DocumentCode
    2114106
  • Title

    Assessment of videolaryngostroboscopy images based on visible vessels of vocal folds

  • Author

    Turkmen, H. Irem ; Karsligil, M.E. ; Kocak, I.

  • Author_Institution
    Dept. of Comput. Eng., Yildiz Tech. Univ., Istanbul, Turkey
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    6251
  • Lastpage
    6254
  • Abstract
    Extraction of vessel structures and the vessel features automatically forms an essential step for computer-aided diagnosis. Visible vessels of vocal folds become a diagnostic aid for vocal fold pathologies by publication of limited number of researches which analyze the effects of vocal fold pathologies on visual characteristics of blood vessels. In this paper we present a novel system that extracts blood vessels centerlines on vocal folds images and detects pathologically altered vocal folds exploiting visual characteristics of vessels.
  • Keywords
    biological organs; blood vessels; diseases; medical image processing; video recording; blood vessel structure extraction; computer-aided diagnosis; videolaryngostroboscopy image assessment; visual characteristics; vocal fold pathologies; vocal fold visible vessels; Biomedical imaging; Blood vessels; Image edge detection; Image segmentation; Joining processes; Pathology; Skeleton; Blood Vessel Detection; Videolaryngostroboscopy; Vocal Fold Pathologies; Blood Vessels; Humans; Laryngoscopy; Video Recording; Vocal Cords;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6347423
  • Filename
    6347423