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
Link To Document :
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