• DocumentCode
    3707181
  • Title

    Image analysis of videokymographic data

  • Author

    Adam Novozámský;Jiři Sedlář;Aleš Zita;Filip Šroubek;Jan Flussef;Jan G. Švec;Jitka Vydrová;Barbara Zitová

  • Author_Institution
    Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Prague, Czech Republic
  • fYear
    2015
  • Firstpage
    78
  • Lastpage
    82
  • Abstract
    Videokymography (VKG) is a high-speed medical imaging technique used in laryngology and phoniatrics for examination of vocal fold vibrations, it offers important characteristics for diagnosis and treatment of voice disorders. VKG repeatedly scans only a single line from the scene and captures movements of vocal folds in this region of interest. This paper proposes methods for computer assisted evaluation of diagnostically important vibration features, related to movements of vocal folds and their surroundings. They are derived from existing as well as newly developed methods of digital image processing, mainly based on data segmentation and morphological operations. Performance of the developed methods is compared to expert manual assessments and it proves to be comparable with clinicians conclusions.
  • Keywords
    "Vibrations","Visualization","Feature extraction","Biomedical imaging","Indexes","Cameras","Digital images"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIP.2015.7350763
  • Filename
    7350763