Subject-Specific Computational Modeling of Evoked Rabbit Phonation

Author:

Chang Siyuan1,Novaleski Carolyn K.2,Kojima Tsuyoshi3,Mizuta Masanobu4,Luo Haoxiang56,Rousseau Bernard789

Affiliation:

1. Department of Mechanical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37235-1592 e-mail:

2. Department of Hearing and Speech Sciences, Vanderbilt University School of Medicine, 1215 21st Avenue South, Nashville, TN 37232-4480 e-mail:

3. Department of Otolaryngology, Vanderbilt University School of Medicine, 1215 21st Avenue South, Nashville, TN 37232-4480

4. Department of Otolaryngology, Vanderbilt University School of Medicine, 1215 21st Avenue South, Nashville, TN 37232-4480 e-mail:

5. Department of Mechanical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37235-1592;

6. Department of Otolaryngology, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37235-1592 e-mail:

7. Department of Mechanical Engineering, Vanderbilt University, 1215 21st Avenue South, Nashville, TN 37232-4480;

8. Department of Hearing and Speech Sciences, Vanderbilt University, 1215 21st Avenue South, Nashville, TN 37232-4480;

9. Department of Otolaryngology, Vanderbilt University, 1215 21st Avenue South, Nashville, TN 37232-4480 e-mail:

Abstract

When developing high-fidelity computational model of vocal fold vibration for voice production of individuals, one would run into typical issues of unknown model parameters and model validation of individual-specific characteristics of phonation. In the current study, the evoked rabbit phonation is adopted to explore some of these issues. In particular, the mechanical properties of the rabbit's vocal fold tissue are unknown for individual subjects. In the model, we couple a 3D vocal fold model that is based on the magnetic resonance (MR) scan of the rabbit larynx and a simple one-dimensional (1D) model for the glottal airflow to perform fast simulations of the vocal fold dynamics. This hybrid three-dimensional (3D)/1D model is then used along with the experimental measurement of each individual subject for determination of the vocal fold properties. The vibration frequency and deformation amplitude from the final model are matched reasonably well for individual subjects. The modeling and validation approaches adopted here could be useful for future development of subject-specific computational models of vocal fold vibration.

Publisher

ASME International

Subject

Physiology (medical),Biomedical Engineering

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