» Articles » PMID: 11021509

Functional Imaging of Vocal Fold Vibration: Digital Multislice High-speed Kymography

Overview
Journal J Voice
Date 2000 Oct 6
PMID 11021509
Citations 23
Authors
Affiliations
Soon will be listed here.
Abstract

For the diagnosis of voice disorders, and especially for the classification of hoarseness, direct observation of vocal fold vibration is essential. Furthermore, a quantitative description of the movement of the vocal fold becomes increasingly necessary to document and compare findings as well as the progression of speech therapy. On the base of digital high-speed sequences of vocal fold vibration, multiple "functional images"-also called digital kymograms-are obtained using image- and signal-processing algorithms. Digital kymograms can serve as a powerful aid for visualization, description, and classification of vocal fold vibration and as an intermediate step for image interpretation by biomechanical modeling. This visualization technique will be discussed and compared to other techniques currently available: videokymography and videostroboscopy. The technique is applied to several clinical examples: aperiodic processes (phonation onset), irregular vocal fold vibration (paralysis of the recurrent nerve), particular vibration modes (anterior-posterior modes), and running speech.

Citing Articles

Vowel onset measures and their reliability, sensitivity and specificity: A systematic literature review.

Chacon A, Nguyen D, Holik J, Dollinger M, Arias-Vergara T, Madill C PLoS One. 2024; 19(5):e0301786.

PMID: 38696537 PMC: 11065290. DOI: 10.1371/journal.pone.0301786.


Videostroboscopy Versus High-Speed Videoendoscopy: Factors Influencing Ratings of Laryngeal Oscillation.

Fujiki R, Croegaert-Koch C, Thibeault S J Speech Lang Hear Res. 2023; 66(5):1496-1510.

PMID: 37040690 PMC: 10457078. DOI: 10.1044/2023_JSLHR-22-00649.


Videokymographic index of glottic function: an analysis of diagnostic accuracy.

Deus A, Quinino R, Santos M, Gama A Codas. 2022; 35(1):e20210214.

PMID: 36259820 PMC: 10010432. DOI: 10.1590/2317-1782/20212021214pt.


A Portable Smartphone-Based Laryngoscope System for High-Speed Vocal Cord Imaging of Patients With Throat Disorders: Instrument Validation Study.

Kim Y, Oh J, Choi S, Jung A, Lee J, Lee Y JMIR Mhealth Uhealth. 2021; 9(6):e25816.

PMID: 34142978 PMC: 8277344. DOI: 10.2196/25816.


Fully automatic segmentation of glottis and vocal folds in endoscopic laryngeal high-speed videos using a deep Convolutional LSTM Network.

Fehling M, Grosch F, Schuster M, Schick B, Lohscheller J PLoS One. 2020; 15(2):e0227791.

PMID: 32040514 PMC: 7010264. DOI: 10.1371/journal.pone.0227791.