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Updated: Mar 15, 2026

Synthetic, Multi-Layer, Self-Oscillating Vocal Fold Model Fabrication

Synthetic, Multi-Layer, Self-Oscillating Vocal Fold Model Fabrication

Published on: December 2, 2011

A parametric vocal fold model based on magnetic resonance imaging.

Liang Wu¹, Zhaoyan Zhang¹

¹Department of Head and Neck Surgery, University of California, Los Angeles, 31-24 Rehabilitation Center, 1000 Veteran Avenue, Los Angeles, California 90095-1794, USA liangwu@xjtu.edu.cn, zyzhang@ucla.edu.

The Journal of the Acoustical Society of America

|September 3, 2016

Summary

This study presents a new 3D vocal fold model using MRI data, incorporating key anatomical features for improved voice production research and clinical applications.

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Published on: February 3, 2014

Area of Science:

Biomechanics
Medical Imaging
Computational Biology

Background:

Current vocal fold models lack major geometric features observed in human larynx MRI scans.
These missing features may influence vocal fold vibration and voice production accuracy.

Purpose of the Study:

Introduce a parametric 3D body-cover vocal fold model.
Incorporate MRI-derived geometric features into the model.
Evaluate the influence of these features on vocal fold vibration.

Main Methods:

Developed a parametric 3D body-cover vocal fold model.
Utilized magnetic resonance imaging (MRI) data of the human larynx.
Performed eigenmode analysis to evaluate vocal fold vibration.
Discussed appropriate boundary conditions for the model.

Main Results:

Identified and incorporated major geometric features from MRI into the model.
Eigenmode analysis indicated the influence of these features on vocal fold vibration.
The model is adaptable to specific subjects using easily measurable anatomic landmarks.

Conclusions:

The new parametric 3D vocal fold model enhances voice production research.
The model's adaptability for subject-specific applications is valuable for clinical use.
Incorporating detailed geometry improves biomechanical accuracy in voice studies.