Institute of Information Theory and Automation

Publication details

Image Analysis of Videokymographic Data

Conference Paper (international conference)

Novozámský Adam, Sedlář Jiří, Zita Aleš, Šroubek Filip, Flusser Jan, Švec J. G., Vydrová J., Zitová Barbara


serial: Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015, p. 78-82

action: IEEE International Conference on Image Processing 2015, ICIP 2015, (Québec City, CA, 27.09.2015-30.09.2015)

project(s): TA04010877, GA TA ČR, GA13-29225S, GA ČR

keywords: videokymography, medical imaging, data segmentation

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abstract (eng):

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.

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Last modification: 21.12.2012
Institute of Information Theory and Automation