Vocal Fold Vibratory Characteristics in Normal Female Speakers From High-Speed Digital Imaging

Introduction. The aim of the study is the evaluation of the usefulness of High-Speed Digital Imaging (HSDI) in the diagnosis of organic dysphonia in a form of oedematous-hypertrophic changes of vocal fold mucosa, morphologically confirmed by Transmission Electron Microscopy (TEM) method in patients working with voice occupationally. Material and methods. The group consisted of 30 patients working with voice occupationally with oedematous-hypertrophic changes of vocal fold mucosa. Parameters of vocal folds vibrations were evaluated using HSDI technique with a digital HS camera, HRES Endocam Richard Wolf GmbH. The image of vocal folds was recorded with a rate of 4000 frames per second. Postoperative material of the larynx was prepared in a routine way and observed in transmission electron microscope OPTON 900–PC. Results. HSDI technique allows to assess the real vibrations of vocal folds and determine many parameters. The results of TEM in the postoperative material showed destruction of epithelial cells with severe vacuolar degeneration, the enlargement of intercellular spaces and a large number of blood vessels in the stroma, which indicates the presence of oedematous-hypertrophic changes of the larynx. Discussion. The ultrastructural assessment confirm the particular usefulness of HSDI method in the diagnosis of organic dysphonia in a form of oedematous-hypertrophic changes. Key words: High-Speed Digital Imaging, oedematous-hypertrophic changes, vocal fold mucosa, larynx

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Extension and Application of High-Speed Digital Imaging Analysis Via Spatiotemporal Correlation and Eigenmode Analysis of Vocal Fold Vibration Before and After Polyp Excision

Annals of Otology Rhinology & Laryngology ◽

10.1177/0003489416644618 ◽

2016 ◽

Vol 125 (8) ◽

pp. 660-666 ◽

Cited By ~ 4

Author(s):

Jun-Sheng Wang ◽

Emily Olszewski ◽

Erin E. Devine ◽

Matthew R. Hoffman ◽

Yu Zhang ◽

...

Keyword(s):

Digital Imaging ◽

Vocal Fold ◽

High Speed ◽

Imaging Analysis ◽

Spatiotemporal Correlation ◽

Vocal Fold Vibration ◽

Eigenmode Analysis ◽

Before And After

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The influence of water resistance therapy on vocal fold vibration: a high-speed digital imaging study

Logopedics Phoniatrics Vocology ◽

10.1080/14015439.2016.1207097 ◽

2016 ◽

Vol 42 (3) ◽

pp. 99-107 ◽

Cited By ~ 11

Author(s):

Marco Guzman ◽

Anne-Maria Laukkanen ◽

Louisa Traser ◽

Ahmed Geneid ◽

Bernhard Richter ◽

...

Keyword(s):

Digital Imaging ◽

Vocal Fold ◽

High Speed ◽

Water Resistance ◽

Imaging Study ◽

Vocal Fold Vibration ◽

Influence Of Water

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Efficient and Effective Extraction of Vocal Fold Vibratory Patterns from High-Speed Digital Imaging

Journal of Voice ◽

10.1016/j.jvoice.2008.03.003 ◽

2010 ◽

Vol 24 (1) ◽

pp. 21-29 ◽

Cited By ~ 31

Author(s):

Yu Zhang ◽

Erik Bieging ◽

Henry Tsui ◽

Jack J. Jiang

Keyword(s):

Digital Imaging ◽

Vocal Fold ◽

High Speed

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Quantitative Analysis of Vocal Fold Vibration in Vocal Fold Paralysis With the Use of High-speed Digital Imaging

Journal of Voice ◽

10.1016/j.jvoice.2015.10.015 ◽

2016 ◽

Vol 30 (6) ◽

pp. 766.e13-766.e22 ◽

Cited By ~ 7

Author(s):

Akihito Yamauchi ◽

Hisayuki Yokonishi ◽

Hiroshi Imagawa ◽

Ken-Ichi Sakakibara ◽

Takaharu Nito ◽

...

Keyword(s):

Quantitative Analysis ◽

Digital Imaging ◽

Vocal Fold ◽

High Speed ◽

Vocal Fold Paralysis ◽

Vocal Fold Vibration

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Multivariate Analysis of Vocal Fold Vibrations on Various Voice Disorders Using High-Speed Digital Imaging

Applied Sciences ◽

10.3390/app11146284 ◽

2021 ◽

Vol 11 (14) ◽

pp. 6284

Author(s):

Akihito Yamauchi ◽

Hiroshi Imagawa ◽

Hisayuki Yokonishi ◽

Ken-Ichi Sakakibara ◽

Niro Tayama

Keyword(s):

Multivariate Analysis ◽

Digital Imaging ◽

Vocal Fold ◽

High Speed ◽

Voice Disorders ◽

Normal Subjects ◽

Voice Disorder ◽

Coefficient Of Determination ◽

Laryngeal Diseases ◽

Disease Specific

Although many quantitative parameters have been devised to describe abnormalities in vocal fold vibration, little is known about the priority of these parameters. We conducted a prospective study using high-speed digital imaging to elucidate disease-specific key parameters (KPs) to characterize the vocal fold vibrations of individual voice disorders. From 304 patients with various voice disorders and 46 normal speakers, high-speed digital imaging of a sustained phonation at a comfortable pitch and loudness was recorded and parameters from visual-perceptual rating, laryngotopography, digital kymography, and glottal area waveform were calculated. Multivariate analysis was then applied to these parameters to elucidate the KPs to explain each voice disorder in comparison to normal subjects. Four key parameters were statistically significant for all laryngeal diseases. However, the coefficient of determination (R2) was very low (0.29). Vocal fold paralysis (8 KPs, R2 = 0.76), sulcus vocalis (4 KPs, R2 = 0.74), vocal fold scarring (1 KP, R2 = 0.68), vocal fold atrophy (6 KPs, R2 = 0.53), and laryngeal cancer (1 KP, R2 = 0.52) showed moderate-to-high R2 values. The results identified different KPs for each voice disorder; thus, disease-specific analysis is a reasonable approach.

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