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Proceedings Paper

Spatio-temporal processing of massive glottic images from high-speed videoendoscopy
Author(s): Yuling Yan; Krzysztof Izdebski; Emma Marriott
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Paper Abstract

We present here development and application of new approaches for quantitative spatio-temporal analyses of vocal fold (VF) vibrations derived from high-speed digital imaging (HSDI) data of the glottis. We develop image processing methods to track the motion of the VF and target the analysis of HSDI-derived glottal area waveform (GAW), glottal width function (GWF) and displacements of the VF tissues for the characterization of the VF dynamic properties. In particular, a combined threshold and region growing method is used for the glottis segmentation, and an analytic signal approach and the Nyquist plot and associated parameters are used to represent and to characterize the VF vibratory behaviors in normal and specific pathologic voice productions.

Paper Details

Date Published: 18 February 2011
PDF: 10 pages
Proc. SPIE 7883, Photonic Therapeutics and Diagnostics VII, 78831S (18 February 2011); doi: 10.1117/12.880497
Show Author Affiliations
Yuling Yan, Santa Clara Univ. (United States)
Stanford Univ. School of Medicine (United States)
Krzysztof Izdebski, Santa Clara Univ. (United States)
Stanford Univ. School of Medicine (United States)
Pacific Voice and Speech Foundation (United States)
Emma Marriott, Santa Clara Univ. (United States)


Published in SPIE Proceedings Vol. 7883:
Photonic Therapeutics and Diagnostics VII
Kenton W. Gregory; Nikiforos Kollias; Andreas Mandelis; Henry Hirschberg; Hyun Wook Kang; Anita Mahadevan-Jansen; Brian Jet-Fei Wong; Justus F. R. Ilgner; Bodo E. Knudsen; E. Duco Jansen; Steen J. Madsen; Guillermo J. Tearney; Bernard Choi; Haishan Zeng; Laura Marcu, Editor(s)

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