Subject-Specific Computational Fluid-Structure Interaction Modeling of Rabbit Vocal Fold Vibration

• Published in: Fluids (Basel) Vol. 7; no. 3; p. 97
• Main Authors: Avhad, Amit, Li, Zheng, Wilson, Azure, Sayce, Lea, Chang, Siyuan, Rousseau, Bernard, Luo, Haoxiang
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.03.2022
• Subjects: 3D model; biomechanics; Experiments; Finite element method; Flow distribution; Flow simulation; Fluid flow; Fluid-structure interaction; Geometry; Incompressible flow; Inlet pressure; Interaction models; Larynx; Machine learning; Magnetic resonance imaging; Material properties; Mathematical models; Phonation; Rabbits; Reynolds number; Simulation; subject-specific model; Three dimensional flow; Three dimensional models; Vibration; vocal fold vibration; 3D model; fluid-structure interaction; biomechanics; subject-specific model; vocal fold vibration; phonation
• ISSN: 2311-5521; 2311-5521
• DOI: 10.3390/fluids7030097

A full three-dimensional (3D) fluid-structure interaction (FSI) study of subject-specific vocal fold vibration is carried out based on the previously reconstructed vocal fold models of rabbit larynges. Our primary focuses are the vibration characteristics of the vocal fold, the unsteady 3D flow field, and comparison with a recently developed 1D glottal flow model that incorporates machine learning. The 3D FSI model applies strong coupling between the finite-element model for the vocal fold tissue and the incompressible Navier-Stokes equation for the flow. Five different samples of the rabbit larynx, reconstructed from the magnetic resonance imaging (MRI) scans after the in vivo phonation experiments, are used in the FSI simulation. These samples have distinct geometries and a different inlet pressure measured in the experiment. Furthermore, the material properties of the vocal fold tissue were determined previously for each individual sample. The results demonstrate that the vibration and the intraglottal pressure from the 3D flow simulation agree well with those from the 1D flow model based simulation. Further 3D analyses show that the inferior and supraglottal geometries play significant roles in the FSI process. Similarity of the flow pattern with the human vocal fold is discussed. This study supports the effective usage of rabbit larynges to understand human phonation and will help guide our future computational studies that address vocal fold disorders.