Number of the records: 1

Computer-Assisted Evaluation of Videokymographic Data

SYSNO ASEP	0396304
Document Type	A - Abstract
R&D Document Type	Není vybrán druh dokumentu
Title	Computer-Assisted Evaluation of Videokymographic Data
Author(s)	Novozámský, Adam (UTIA-B)_{RID, ORCID} Sedlář, Jiří (UTIA-B) Zita, A. (CZ) Švec, J. G. (CZ) Zitová, Barbara (UTIA-B)_{RID, ORCID} Flusser, Jan (UTIA-B)_{RID, ORCID} Hauzar, D. (CZ)
Number of authors	7
Source Title	International Journal on Biomedicine and Healthcare - ISSN 1805-8698 Roč. 1, č. 1 (2013), s. 49-49
Number of pages	1 s.
Publication form	Medium - C
Action	EFMI STC Prague Data and Knowledge for Medical Decision Support
Event date	17.04.2013-19.04.2013
VEvent location	Praha
Country	CZ - Czech Republic
Event type	WRD
Language	eng - English
Country	CZ - Czech Republic
Keywords	videokymography ; image processing ; computerassisted evaluation
Subject RIV	JD - Computer Applications, Robotics
Institutional support	UTIA-B - RVO:67985556
Annotation	Videokymography is a novel medical imaging method used in laryngology and phoniatrics for observation and diagnosis of vocal fold vibrations. The amount and the quality of the data hamper manual feature extraction. A computer-assisted extraction could facilitate the diagnostic process. The proposed solution offers a software tool for data enhancement and extraction of typical characteristics of vocal folds vibrations designed by experts. The proposed methodology is based on digital image processing methods, namely image denoising, image segmentation, and object detection. Such approach enables to reflect specific features of videokymographic images and extracted vocal fold parameters. We have tested the proposed solutions on a representative set of videokymographic data. The comparison of the achieved results with the visually detected features proved the method applicability. The algorithms were implemented into the VKFD (videokymography feature detection) software.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2014

Number of the records: 1