Literature DB >> 26829782

3D Reconstruction of Human Laryngeal Dynamics Based on Endoscopic High-Speed Recordings.

Marion Semmler, Stefan Kniesburges, Veronika Birk, Anke Ziethe, Rita Patel, Michael Dollinger.   

Abstract

Standard laryngoscopic imaging techniques provide only limited two-dimensional insights into the vocal fold vibrations not taking the vertical component into account. However, previous experiments have shown a significant vertical component in the vibration of the vocal folds. We present a 3D reconstruction of the entire superior vocal fold surface from 2D high-speed videoendoscopy via stereo triangulation. In a typical camera-laser set-up the structured laser light pattern is projected on the vocal folds and captured at 4000 fps. The measuring device is suitable for in vivo application since the external dimensions of the miniaturized set-up barely exceed the size of a standard rigid laryngoscope. We provide a conservative estimate on the resulting resolution based on the hardware components and point out the possibilities and limitations of the miniaturized camera-laser set-up. In addition to the 3D vocal fold surface, we extended previous approaches with a G2-continuous model of the vocal fold edge. The clinical applicability was successfully established by the reconstruction of visual data acquired from 2D in vivo high-speed recordings of a female and a male subject. We present extracted dynamic parameters like maximum amplitude and velocity in the vertical direction. The additional vertical component reveals deeper insights into the vibratory dynamics of the vocal folds by means of a non-invasive method. The successful miniaturization allows for in vivo application giving access to the most realistic model available and hence enables a comprehensive understanding of the human phonation process.

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Mesh:

Year:  2016        PMID: 26829782     DOI: 10.1109/TMI.2016.2521419

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


  7 in total

1.  Method for Vertical Calibration of Laser-Projection Transnasal Fiberoptic High-Speed Videoendoscopy.

Authors:  Hamzeh Ghasemzadeh; Dimitar D Deliyski; David S Ford; James B Kobler; Robert E Hillman; Daryush D Mehta
Journal:  J Voice       Date:  2019-05-29       Impact factor: 2.009

2.  Synchronized, concurrent optical coherence tomography and videostroboscopy for monitoring vocal fold morphology and kinematics.

Authors:  Gopi Maguluri; Daryush Mehta; James Kobler; Jesung Park; Nicusor Iftimia
Journal:  Biomed Opt Express       Date:  2019-08-06       Impact factor: 3.732

3.  Biomechanical simulation of vocal fold dynamics in adults based on laryngeal high-speed videoendoscopy.

Authors:  Michael Döllinger; Pablo Gómez; Rita R Patel; Christoph Alexiou; Christopher Bohr; Anne Schützenberger
Journal:  PLoS One       Date:  2017-11-09       Impact factor: 3.240

4.  Machine learning based identification of relevant parameters for functional voice disorders derived from endoscopic high-speed recordings.

Authors:  Patrick Schlegel; Stefan Kniesburges; Stephan Dürr; Anne Schützenberger; Michael Döllinger
Journal:  Sci Rep       Date:  2020-06-29       Impact factor: 4.379

5.  Method for Horizontal Calibration of Laser-Projection Transnasal Fiberoptic High-Speed Videoendoscopy.

Authors:  Hamzeh Ghasemzadeh; Dimitar D Deliyski; Robert E Hillman; Daryush D Mehta
Journal:  Appl Sci (Basel)       Date:  2021-01-17       Impact factor: 2.679

6.  Interdependencies between acoustic and high-speed videoendoscopy parameters.

Authors:  Patrick Schlegel; Andreas M Kist; Melda Kunduk; Stephan Dürr; Michael Döllinger; Anne Schützenberger
Journal:  PLoS One       Date:  2021-02-02       Impact factor: 3.240

7.  Estimating Vocal Fold Contact Pressure from Raw Laryngeal High-Speed Videoendoscopy Using a Hertz Contact Model.

Authors:  Manuel E Díaz-Cádiz; Sean D Peterson; Gabriel E Galindo; Víctor M Espinoza; Mohsen Motie-Shirazi; Byron D Erath; Matías Zañartu
Journal:  Appl Sci (Basel)       Date:  2019-06-11       Impact factor: 2.679

  7 in total

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