This proposal describes a study of fluid-structure interaction phenomena within the human larynx during phonation. The motion of the vocal folds is driven in part by the aerodynamic pressure on their surfaces. During phonation, there is a periodic exchange of energy between the elastic deformation of the vocal folds and the surface pressures associated with the airflow through the larynx. A good understanding of the associated fluid-structure interaction mechanisms is of utmost importance in order to develop accurate predictive models of phonatory processes, and accurate estimates of the stresses within the tissue. The purpose of the proposed research is to gain a thorough understanding of the mechanics of fluid-induced oscillations of the laryngeal tissue, including aspects related to the possible role of the false vocal folds in phonation.
The aims are to: 1) perform detailed flow, kinematic, and sound measurements using a self oscillating physical model of the larynx and the false vocal folds; 2) develop detailed and accurate computational models as well as approximate reduced order models for the prediction of fluid flow, radiated sound, and tissue deformation of the larynx and false folds; and 3) determine the effects on laryngeal dynamics of normal and pathological conditions of the larynx, and clarify the role of the false vocal folds. Fundamental phonation processes will be isolated and studied. The different theoretical and physical models will be used to cross-validate new information that bridges from idealized models and real larynx phonation. Comparisons will be made between data obtained using the physical models and the numerical predictions. This will allow the validation of the numerical models, and reinforce our understanding of the physical phenomena involved. The overarching goal is to develop accurate computer prediction models of voice production that may eventually be useful for making precise diagnostic decisions in the voice clinic, targeting optimal intervention strategies for voice problems, and achieving high quality articulatory speech synthesis. Accurate stress calculations are also needed and useful for tissue damage predictions. This research program is a collaboration among laboratories at Bowling Green State University and Purdue University.

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Research Project (R01)
Project #
5R01DC005788-03
Application #
6926195
Study Section
Biobehavioral and Behavioral Processes 3 (BBBP)
Program Officer
Shekim, Lana O
Project Start
2003-07-01
Project End
2007-06-30
Budget Start
2005-07-01
Budget End
2006-06-30
Support Year
3
Fiscal Year
2005
Total Cost
$577,462
Indirect Cost
Name
Purdue University
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
072051394
City
West Lafayette
State
IN
Country
United States
Zip Code
47907
Latifi, Neda; Asgari, Meisam; Vali, Hojatollah et al. (2018) A tissue-mimetic nano-fibrillar hybrid injectable hydrogel for potential soft tissue engineering applications. Sci Rep 8:1047
Seekhao, Nuttiiya; Shung, Caroline; JaJa, Joseph et al. (2018) High-Performance Agent-Based Modeling Applied to Vocal Fold Inflammation and Repair. Front Physiol 9:304
Syndergaard, Kyle L; Dushku, Shelby; Thomson, Scott L (2017) Electrically conductive synthetic vocal fold replicas for voice production research. J Acoust Soc Am 142:EL63
AlReefi, Mahmoud A; Nguyen, Lily H P; Mongeau, Luc G et al. (2017) Development and validation of a septoplasty training model using 3-dimensional printing technology. Int Forum Allergy Rhinol 7:399-404
Alrasheed, Abdulaziz S; Nguyen, Lily H P; Mongeau, Luc et al. (2017) Development and validation of a 3D-printed model of the ostiomeatal complex and frontal sinus for endoscopic sinus surgery training. Int Forum Allergy Rhinol 7:837-841
Asgari, Meisam; Latifi, Neda; Heris, Hossein K et al. (2017) In vitro fibrillogenesis of tropocollagen type III in collagen type I affects its relative fibrillar topology and mechanics. Sci Rep 7:1392
Seekhao, Nuttiiya; JaJa, Joseph; Mongeau, Luc et al. (2017) In Situ Visualization for 3D Agent-Based Vocal Fold Inflammation and Repair Simulation. Supercomput Front Innov 4:68-79
Asgari, Meisam (2017) Micro-mechanical, continuum-mechanical, and AFM-based descriptions of elasticity in open cylindrical micellar filaments. Soft Matter 13:7112-7128
Seekhao, Nuttiiya; Shung, Caroline; JaJa, Joseph et al. (2016) Real-Time Agent-Based Modeling Simulation with in-situ Visualization of Complex Biological Systems: A Case Study on Vocal Fold Inflammation and Healing. IEEE Int Symp Parallel Distrib Process Workshops Phd Forum 2016:463-472
Latifi, Neda; Heris, Hossein K; Thomson, Scott L et al. (2016) A Flow Perfusion Bioreactor System for Vocal Fold Tissue Engineering Applications. Tissue Eng Part C Methods 22:823-38

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