Literature DB >> 18334426

Phonovibrography: mapping high-speed movies of vocal fold vibrations into 2-D diagrams for visualizing and analyzing the underlying laryngeal dynamics.

Jörg Lohscheller1, Ulrich Eysholdt, Hikmet Toy, Michael Dollinger.   

Abstract

Endoscopic high-speed laryngoscopy in combination with image analysis strategies is the most promising approach to investigate the interrelation between vocal fold vibrations and voice disorders. So far, due to the lack of an objective and standardized analysis procedure a unique characterization of vocal fold vibrations has not been achieved yet. We present a visualization and analysis strategy which transforms the segmented edges of vibrating vocal folds into a single 2-D image, denoted Phonovibrogram (PVG). Within a PVG the individual type of vocal fold vibration becomes uniquely characterized by specific geometric patterns. The PVG geometries give an intuitive access on the type and degree of the laryngeal asymmetry and can be quantified using an image segmentation approach. The PVG analysis was applied to 14 representative recordings derived from a high-speed database comprising normal and pathological voices. We demonstrate that PVGs are capable to differentiate and quantify different types of normal and pathological vocal fold vibrations. The objective and precise quantification of the PVG geometry may have the potential to realize a novel classification of vocal fold vibrations.

Entities:  

Mesh:

Year:  2008        PMID: 18334426     DOI: 10.1109/TMI.2007.903690

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  32 in total

1.  Investigating acoustic correlates of human vocal fold vibratory phase asymmetry through modeling and laryngeal high-speed videoendoscopy.

Authors:  Daryush D Mehta; Matías Zaéartu; Thomas F Quatieri; Dimitar D Deliyski; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2011-12       Impact factor: 1.840

2.  [Reproducibility and reliability of phonovibrograms. Quantification of healthy vocal fold vibrations].

Authors:  J Havla; M Döllinger; U Eysholdt; J Lohscheller
Journal:  HNO       Date:  2009-02       Impact factor: 1.284

Review 3.  Advances in laryngeal imaging.

Authors:  Antanas Verikas; Virgilijus Uloza; Marija Bacauskiene; Adas Gelzinis; Edgaras Kelertas
Journal:  Eur Arch Otorhinolaryngol       Date:  2009-07-19       Impact factor: 2.503

4.  Observation and analysis of in vivo vocal fold tissue instabilities produced by nonlinear source-filter coupling: a case study.

Authors:  Matías Zañartu; Daryush D Mehta; Julio C Ho; George R Wodicka; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2011-01       Impact factor: 1.840

5.  Automated setup for ex vivo larynx experiments.

Authors:  Veronika Birk; Michael Döllinger; Alexander Sutor; David A Berry; Dominik Gedeon; Maximilian Traxdorf; Olaf Wendler; Christopher Bohr; Stefan Kniesburges
Journal:  J Acoust Soc Am       Date:  2017-03       Impact factor: 1.840

6.  Glottal Gap tracking by a continuous background modeling using inpainting.

Authors:  Gustavo Andrade-Miranda; Juan Ignacio Godino-Llorente
Journal:  Med Biol Eng Comput       Date:  2017-05-27       Impact factor: 2.602

7.  [Hoarseness: biomechanisms and quantitative laryngoscopy].

Authors:  U Eysholdt
Journal:  HNO       Date:  2014-07       Impact factor: 1.284

8.  Voice pathology classification based on High-Speed Videoendoscopy.

Authors:  D Panek; A Skalski; T Zielinski; D D Deliyski
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015-08

9.  Spatiotemporal analysis of vocal fold vibrations between children and adults.

Authors:  Michael Döllinger; Denis Dubrovskiy; Rita Patel
Journal:  Laryngoscope       Date:  2012-09-10       Impact factor: 3.325

10.  The glottaltopogram: a method of analyzing high-speed images of the vocal folds.

Authors:  Gang Chen; Jody Kreiman; Abeer Alwan
Journal:  Comput Speech Lang       Date:  2014-09-01       Impact factor: 1.899

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