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Three Dimensional FSI Modelling of Sulcus Vocalis Disorders of Vocal Folds

Published online by Cambridge University Press:  02 July 2018

A. Vazifehdoostsaleh ,
N. Fatouraee ,
M. Navidbakhsh  and
F. Izadi
A. Vazifehdoostsaleh
Affiliation:
Department of Mechanical EngineeringRamsar BranchIslamic Azad UniversityRamsar, Iran
N. Fatouraee*
Affiliation:
Biological Fluid Mechanics Research LaboratoryBiomechanics DepartmentBiomedical Engineering FacultyAmirkabir University of TechnologyTehran, Iran
M. Navidbakhsh
Affiliation:
School of Mechanical EngineeringIran University of Science and TechnologyTehran, Iran
F. Izadi
Affiliation:
ENT-Head and Neck Research Center and DepartmentHazratrasoulakram HospitalTehran University of Medical ScienceTehran, Iran
*
*Corresponding author (Nasser@aut.ac.ir)
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Abstract

The effect of sulcus vocalis on vocal folds function is investigated. A type II sulcus vocalis is defined, parameterized and incorporated into a three-dimensional, fully coupled finite element model of vocal folds and laryngeal airway. The proposed Fluid-Structure Interaction (FSI) model is utilized in computational fluid dynamics, Arbitrary Lagrangian-Eulerian (ALE), incompressible continuity and Navier-Stokes equations and in a structure range of a three-layer elastic linear model. Flow parameters, vibration behavior and glottal jet aerodynamics of healthy and patient vocal folds models are compared with each other. Flow visualization is utilized to characterize Coanda effect and three dimensionality of flow patterns. The vibration frequency of vocal folds having sulcus vocalis decreases in comparison with that of healthy ones. Upon increasing the volume flux in the sulcus vocalis model, the non-periodic and disordered behavior of it is visible for patient vocal folds. Underlying mechanisms for the observed changes, possible implications for treatments of sulcus vocalis and human perfect voice production are also discussed.

Keywords

Vocal foldsSulcus vocalisFluid-structure interactionFlow parameters
Type
Research Article
Information
Journal of Mechanics , Volume 34 , Issue 6 , December 2018 , pp. 791 - 800
Copyright
Copyright © The Society of Theoretical and Applied Mechanics 2018 

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References

1. Dailey, S. H. and Ford, C. N., “Surgical Management of Sulcus Vocalis and Vocal Fold Scarring,” Otolaryngologic Clinics of North America, 39, pp. 23–42 (2006).Google Scholar
2. Titze, I. R., The Myoelastic Aerodynamic Theory of Phonation, 1st Edition, National Center for Voice and Speech, Iowa City, U.S.A (2006).Google Scholar
3. Van den Berg, J., “Myoelastic-Aerodynamic Theory of Voice Production,” Journal of Speech, Language, and Hearing Research, 1, pp. 227–244 (1958).Google Scholar
4. Ford, C. N., Inagi, K., Khidr, A., M. Bless, D. and Gilchrist, K. W., “Sulcus Vocalis: a Rational Analytical Approach to Diagnosis and Management,” Annals of Otology, Rhinology & Laryngology, 105, pp. 189–200 (1996).Google Scholar
5. Choi, S. H., Zhang, Y., Jiang, J. J., Bless, D. M. and Welham, N. V., “Nonlinear Dynamic-Based Analysis of Severe Dysphonia in Patients with Vocal Fold Scar and Sulcus Vocalis,” Journal of Voice, 26, pp. 566–576 (2012).Google Scholar
6. Welham, N. V., Dailey, S. H., Ford, C. N. and Bless, D. M., “Voice Handicap Evaluation of Patients with Pathologic Sulcus Vocalis,” Annals of Otology, Rhinology & Laryngology, 116, pp. 411–417 (2007).Google Scholar
7. Vieira, M. N., McInnes, F. R. and Jack, M. A., “On the Influence of Laryngeal Pathologies on Acoustic and Electroglottographic Jitter Measures,” The Journal of the Acoustical Society of America, 111, pp. 1045–1055 (2002).Google Scholar
8. Smith, S. L. and Thomson, S. L., “Influence of Subglottic Stenosis on the Flow-Induced Vibration of a Computational Vocal Fold Model,” Journal of Fluids and Structures, 38, pp. 77–91 (2013).Google Scholar
9. Zheng, X., Mittal, R., Xue, Q. and Bielamowicz, S., “Direct-Numerical Simulation of the Glottal Jet and Vocal-Fold Dynamics in a Three-Dimensional Laryngeal Model,” The Journal of the Acoustical Society of America, 130, pp. 404–415 (2011).Google Scholar
10. Flanagan, J. and Landgraf, L., “Self-Oscillating Source for Vocal-Tract Synthesizers,” IEEE Transactions on Audio and Electroacoustics, 16, pp. 57–64 (1968).Google Scholar
11. Ishizaka, K. and Flanagan, J. L., “Synthesis of Voiced Sounds from a TwoMass Model of the Vocal Cords,” Bell System Technical Journal, 51, pp. 1233–1268 (1972).Google Scholar
12. Yang, A. et al., “Biomechanical Modeling of the Three-Dimensional Aspects of Human Vocal Fold Dynamics,” The Journal of the Acoustical Society of America, 127, pp. 1014–1031 (2010).Google Scholar
13. de Oliveira Rosa, M., Pereira, J. C., Grellet, M. and Alwan, A., “A Contribution to Simulating a Three-Dimensional Larynx Model Using the Finite Element Method,” The Journal of the Acoustical Society of America, 114, pp. 2893–2905 (2003).Google Scholar
14. Luo, H., Mittal, R. and Bielamowicz, S. A., “Analysis of Flow-Structure Interaction in the Larynx During Phonation Using an Immersed-Boundary Method,” The Journal of the Acoustical Society of America, 126, pp. 816–824 (2009).Google Scholar
15. LaMar, M. D., Qi, Y. and Xin, J., “Modeling Vocal Fold Motion with a Hydrodynamic Semicontinuum Model,” The Journal of the Acoustical Society of America, 114, pp. 455–464 (2003).Google Scholar
16. de Luzan, C. F., Chen, J., Mihaescu, M., Khosla, S. M. and Gutmark, E., “Computational Study of False Vocal Folds Effects on Unsteady Airflows through Static Models of the Human Larynx,” Journal of Biomechanics, 48, pp. 1248–1257 (2015).Google Scholar
17. Bhattacharya, P., Kelleher, J. E. and Siegmund, T., “Role of Gradients in Vocal Fold Elastic Modulus on Phonation,” Journal of Biomechanics, 48, pp. 3356–3363 (2015).Google Scholar
18. Hundertmark-Zaušková, A., Lehmann, R., Hess, M. and Müller, F., “Numerical Simulation of Glottal Flow,” Computers in Biology and Medicine, 43, pp. 2177–2185 (2013).Google Scholar
19. Sváček, P., “Numerical Approximation of Flow Induced Vibrations of Channel Walls,” Computers & Fluids, 46, pp. 448–454 (2011).Google Scholar
20. Tao, C., Zhang, Y., Hottinger, D. G. and Jiang, J. J., “Asymmetric Airflow and Vibration Induced by the Coanda Effect in a Symmetric Model of the Vocal Folds,” The Journal of the Acoustical Society of America, 122, pp. 2270–2278 (2007).Google Scholar
21. Zhao, W., Zhang, C., Frankel, S. H. and Mongeau, L., “Computational Aeroacoustics of Phonation, Part I: Computational Methods and Sound Generation Mechanisms,” The Journal of the Acoustical Society of America, 112, pp. 2134–2146 (2002).Google Scholar
22. Švec, J. G. and Schutte, H. K., “Videokymography: High-Speed Line Scanning of Vocal Fold Vibration,” Journal of Voice, 10, pp. 201–205 (1996).Google Scholar
23. Triep, M. and Brücker, C., “Three-Dimensional Nature of the Glottal Jeta,” The Journal of the Acoustical Society of America, 127, pp. 1537–1547 (2010).Google Scholar
24. Gunter, H. E., “Modeling Mechanical Stresses as a Factor in the Etiology of Benign Vocal Fold Lesions,” Journal of Biomechanics, 37, pp. 1119–1124 (2004).Google Scholar
25. Vazifehdoostsaleh, A., Fatouraee, N., Navidbakhsh, M. and Izadi, F., “Numerical Analysis of the Sulcus Vocalis Disorder on the Function of the Vocal Folds,” Journal of Mechanics, pp. 1–8 (2016).Google Scholar
26. Sunter, A. V. et al., “Histopathological Characteristics of Sulcus Vocalis,” Otolaryngology-Head and Neck Surgery (2011).Google Scholar
27. Thomson, S. L., Mongeau, L. and Frankel, S. H., “Physical and Numerical Flow-Excited Vocal Fold Models,” in MAVEBA, pp. 147–150 (2003).Google Scholar
28. Baer, T., “Investigation of Phonation Using Excised Larynxes,” Ph.D. Thesis, Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Massachusetts, U.S.A. (1975).Google Scholar
29. Krausert, C. R. et al., “Mucosal Wave Measurement and Visualization Techniques,” Journal of Voice, 25, pp. 395–405 (2011).Google Scholar
30. Berry, D. A., Montequin, D. W. and Tayama, N., “High-Speed Digital Imaging of the Medial Surface of the Vocal Folds,” The Journal of the Acoustical Society of America, 110, pp. 2539–2547 (2001).Google Scholar
31. Hirano, M., “Structure and Vibratory Behavior of the Vocal Folds,” Dynamic Aspects of Speech Production, 1, pp. 13–27 (1977).Google Scholar
32. Alipour, F., Sanyukta, J. and Eileen, F., “Aerodynamic and Acoustic Effects of False Vocal Folds and Epiglottis in Excised Larynx Models,” Annals of Otology, Rhinology & Laryngology, 116, 135–144 (2007).Google Scholar
33. Xue, Q. and Zheng, X., “The Effect of False Vocal Folds on Laryngeal Flow Resistance in a Tubular Three-Dimensional Computational Laryngeal Model,” Journal of Voice, DOI: http://dx.doi.org/10.1016/j.jvoice.2016.04.006 (2016).Google Scholar