Tracing vocal fold vibrations using level set segmentation method

International Journal for Numerical Methods in Biomedical Engineering
Tailong ShiYuling Yan

Abstract

High-speed digital imaging (HSDI) of the larynx can provide important information on the vocal fold kinematics. This information is useful and may provide a better understanding of the mechanism of phonation and assist clinical assessment of voice disorders. Automatic tracing of the vocal fold vibration is a key step in the kinematic analysis and for correlative characterization of vocal fold vibrations and voice quality in normal and diseased states. In this study, we introduce a new approach for image segmentation and automatic tracing of vocal fold motion that combines the level set method and motion cue. This approach is applied to videokymogram (VKG)-form images, which are obtained from a sequence of laryngeal images captured using the HSDI. To utilize the motion cue for a more effective level set based segmentation on the VKG, we first construct a so-called standard deviation (STD) image by mapping the pixel-based measure of temporal intensity dispersion from the initial HSDI sequence. The STD image maps the extent of vocal fold motion, and followed by threshold operation, a region of interest (ROI) that encloses vocal fold motion, or glottal region, is identified. The performance and effectiveness of our approach are eva...Continue Reading

References

Jun 1, 1996·Journal of Voice : Official Journal of the Voice Foundation·J G Svec, H K Schutte
May 24, 2005·Journal of Voice : Official Journal of the Voice Foundation·Yuling YanDiane Bless
Jul 13, 2006·IEEE Transactions on Bio-medical Engineering·Yuling YanDiane Bless
Feb 5, 2008·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Víctor Osma-RuizRubén Fraile
Feb 6, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·T F Chan, L A Vese

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Citations

May 3, 2016·Logopedics, Phoniatrics, Vocology·Ewa Niebudek-BoguszMariola Sliwinska-Kowalska
Sep 8, 2019·Medical & Biological Engineering & Computing·H Irem Turkmen, M Elif Karsligil
Apr 1, 2021·Clinical Otolaryngology : Official Journal of ENT-UK ; Official Journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery·Wen-Hsuan TsengTsung-Lin Yang
May 18, 2021·Journal of Speech, Language, and Hearing Research : JSLHR·Andreas M KistMichael Döllinger

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