Literature DB >> 27586774

A parametric vocal fold model based on magnetic resonance imaging.

Liang Wu1, Zhaoyan Zhang1.   

Abstract

This paper introduces a parametric three-dimensional body-cover vocal fold model based on magnetic resonance imaging (MRI) of the human larynx. Major geometric features that are observed in the MRI images but missing in current vocal fold models are discussed, and their influence on vocal fold vibration is evaluated using eigenmode analysis. Proper boundary conditions for the model are also discussed. Based on control parameters corresponding to anatomic landmarks that can be easily measured, this model can be adapted toward a subject-specific vocal fold model for voice production research and clinical applications.

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Year:  2016        PMID: 27586774      PMCID: PMC5397093          DOI: 10.1121/1.4959599

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  10 in total

1.  A finite-element model of vocal-fold vibration.

Authors:  F Alipour; D A Berry; I R Titze
Journal:  J Acoust Soc Am       Date:  2000-12       Impact factor: 1.840

2.  Normal modes in vocal cord tissues.

Authors:  I R Titze; W J Strong
Journal:  J Acoust Soc Am       Date:  1975-03       Impact factor: 1.840

3.  Flow-induced vibratory response of idealized versus magnetic resonance imaging-based synthetic vocal fold models.

Authors:  Brian A Pickup; Scott L Thomson
Journal:  J Acoust Soc Am       Date:  2010-09       Impact factor: 1.840

4.  Identification of geometric parameters influencing the flow-induced vibration of a two-layer self-oscillating computational vocal fold model.

Authors:  Brian A Pickup; Scott L Thomson
Journal:  J Acoust Soc Am       Date:  2011-04       Impact factor: 1.840

5.  Laryngeal electromyography: electrode guidance based on 3-dimensional magnetic resonance tomography images of the larynx.

Authors:  Claudio Storck; Raphael Gehrer; Michael Hofer; Bernhard Neumayer; Rudolf Stollberger; Ralf Schumacher; Markus Gugatschka; Gerhard Friedrich; Markus Wolfensberger
Journal:  J Voice       Date:  2011-01-12       Impact factor: 2.009

6.  Cause-effect relationship between vocal fold physiology and voice production in a three-dimensional phonation model.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2016-04       Impact factor: 1.840

7.  Modal response of a computational vocal fold model with a substrate layer of adipose tissue.

Authors:  Cameron L Jones; Ajit Achuthan; Byron D Erath
Journal:  J Acoust Soc Am       Date:  2015-02       Impact factor: 1.840

8.  Interaction between the thyroarytenoid and lateral cricoarytenoid muscles in the control of vocal fold adduction and eigenfrequencies.

Authors:  Jun Yin; Zhaoyan Zhang
Journal:  J Biomech Eng       Date:  2014-11       Impact factor: 2.097

9.  The Human Vocal Fold Layers. Their Delineation Inside Vocal Fold as a Background to Create 3D Digital and Synthetic Glottal Model.

Authors:  Ivo Klepacek; Daniel Jirak; Miroslava Duskova Smrckova; Olga Janouskova; Tomas Vampola
Journal:  J Voice       Date:  2015-10-01       Impact factor: 2.009

10.  A theoretical study of the effects of various laryngeal configurations on the acoustics of phonation.

Authors:  I R Titze; D T Talkin
Journal:  J Acoust Soc Am       Date:  1979-07       Impact factor: 1.840

  10 in total
  12 in total

1.  Vocal fold contact pressure in a three-dimensional body-cover phonation model.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2019-07       Impact factor: 1.840

2.  Vocal instabilities in a three-dimensional body-cover phonation model.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2018-09       Impact factor: 1.840

3.  Laryngeal strategies to minimize vocal fold contact pressure and their effect on voice production.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2020-08       Impact factor: 1.840

4.  Effect of vocal fold stiffness on voice production in a three-dimensional body-cover phonation model.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2017-10       Impact factor: 1.840

5.  Voice production in a MRI-based subject-specific vocal fold model with parametrically controlled medial surface shape.

Authors:  Liang Wu; Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2019-12       Impact factor: 1.840

6.  Contribution of laryngeal size to differences between male and female voice production.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2021-12       Impact factor: 1.840

7.  Computational Modeling of Voice Production Using Excised Canine Larynx.

Authors:  Weili Jiang; Charles Farbos de Luzan; Xiaojian Wang; Liran Oren; Sid M Khosla; Qian Xue; Xudong Zheng
Journal:  J Biomech Eng       Date:  2022-02-01       Impact factor: 2.097

8.  A one-dimensional flow model enhanced by machine learning for simulation of vocal fold vibration.

Authors:  Zheng Li; Ye Chen; Siyuan Chang; Bernard Rousseau; Haoxiang Luo
Journal:  J Acoust Soc Am       Date:  2021-03       Impact factor: 1.840

9.  Impact of the Paraglottic Space on Voice Production in an MRI-Based Vocal Fold Model.

Authors:  Liang Wu; Zhaoyan Zhang
Journal:  J Voice       Date:  2021-03-19       Impact factor: 2.300

10.  Magnetic resonance imaging quantification of dehydration and rehydration in vocal fold tissue layers.

Authors:  Renee E King; Kevin Steed; Ana E Rivera; Jonathan J Wisco; Susan L Thibeault
Journal:  PLoS One       Date:  2018-12-06       Impact factor: 3.240

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