Quantitative study of mucosal wave via videokymography in canine larynges.
OBJECTIVE
Vocal fold mucosal wave movements are thought to be important in determining voice characteristics and quality. To see these movements, high-speed cinematography and videostroboscopy have been used clinically; however, these techniques have disadvantages that make them impractical for quantitative measurement of mucosal wave movements. This study explored the feasibility of using line-scan cameras for mucosal wave analysis.


METHODS
An excised larynx bench model was used to examine the effects of elongation and changes in subglottal pressure on the amplitude, frequency, and phase difference of vocal fold mucosal movements as calculated from line-scan images.


RESULTS
The data showed a positive and linear relationship between an increase in subglottal pressure and amplitude of the mucosal wave; elongation of the vocal folds appeared to decrease the amplitude of mucosal wave upheaval at each level of subglottal pressure. Similarly, increase in subglottal pressure had a positive and linear relationship with increase in frequency of vibration; elongation of the vocal folds further increased the frequency at any given subglottal pressure. Phase difference between the movements of the upper and lower margins of the mucosal lips was estimated and did not appear to be significantly affected by changes in subglottal pressure and elongation.


CONCLUSIONS
The data presented in this study are consistent with relationships that we would expect to be true from currently accepted models of vocal fold vibration.
Jiang
J J
JJ
Department of Otolaryngology, Head and Neck Surgery, Northwestern University Medical School, Chicago, Illinois, USA.
Chang
C I
CI
Raviv
J R
JR
Gupta
S
S
Banzali
F M
FM
Hanson
D G
DG
D000818:Animals; D002933:Cineradiography / Q000379:methods; D004285:Dogs; D004571:Electrokymography / Q000379:methods; D066298:In Vitro Techniques; D007820:Laryngeal Mucosa / Q000502:physiology*; D008954:Models, Biological; D010699:Phonation / Q000502:physiology; D012044:Regression Analysis