Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same authorSame journal

Vocal Outcomes After Cell-Based Outer Vocal Fold Implant in Porcine Bilateral Vocal Fold Resection.

The Laryngoscope·2026
Same author

Age-related differences in processing unconventional text formats.

Scientific reports·2026
Same author

Reducing Fiber-Induced Honeycomb Artifacts and Low-Light Noise in Nasal High-Speed Video Laryngoscopy: A Fast, Deterministic, Open-Source Approach.

Journal of voice : official journal of the Voice Foundation·2026
Same author

Magnetic Resonance Imaging Detection of Secondary Endolymphatic Hydrops in a DFNA9 Patient With Sudden Deafness.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology·2026
Same author

AI-Driven Detection and Classification of Voice Disorders Using Acoustic Recordings.

Journal of voice : official journal of the Voice Foundation·2026
Same author

Human CART22.19 therapy in refractory pediatric B-ALL: insights from a named-patient cohort.

Journal for immunotherapy of cancer·2026

Related Experiment Video

Updated: Jan 1, 2026

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing
07:22

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing

Published on: December 1, 2023

891

Intersegmenter Variability in High-Speed Laryngoscopy-Based Glottal Area Waveform Measures.

Youri Maryn1,2,3,4,5,6, Monique Verguts1,7, Hannelore Demarsin1

  • 1Department of Otorhinolaryngology-Head and Neck Surgery, European Institute for Otorhinolaryngology-Head and Neck Surgery, GasthuisZusters Antwerpen Sint-Augustinus, Wilrijk/Antwerp, Belgium.

The Laryngoscope
|December 17, 2019
PubMed
Summary

High-speed videoendoscopy (HSV) software Glottal Analysis Tools (GAT) shows high reliability for quantifying vocal fold vibration. Intersegmenter variability in manual segmentation minimally impacts objective vocal fold assessment, confirming GAT

Keywords:
High-speed videoendoscopyglottis segmentationquantitative parametersreliability

More Related Videos

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions
10:13

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Published on: November 25, 2017

11.4K
Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways
08:21

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways

Published on: April 7, 2023

2.2K

Related Experiment Videos

Last Updated: Jan 1, 2026

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing
07:22

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing

Published on: December 1, 2023

891
Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions
10:13

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Published on: November 25, 2017

11.4K
Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways
08:21

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways

Published on: April 7, 2023

2.2K

Area of Science:

  • Laryngology and Voice Science
  • Biomedical Engineering
  • Acoustic Analysis of Phonation

Background:

  • High-speed videoendoscopy (HSV) offers objective quantification of vocal fold vibratory characteristics.
  • Glottal Analysis Tools (GAT) software analyzes HSV data, but requires manual glottis segmentation.
  • Manual segmentation may introduce intersegmenter variability, potentially affecting the reliability of Glottal Area Waveform (GAW) measures.

Purpose of the Study:

  • To investigate the intersegmenter variability in Glottal Analysis Tools (GAT) Glottal Area Waveform (GAW) measures.
  • To assess the reliability of GAT measures derived from semiautomatic segmentation of high-speed videoendoscopy (HSV) data.
  • To determine if manual segmentation influences the clinical applicability of GAT for vocal fold analysis.

Main Methods:

  • A cohort study design was employed to evaluate rater reliability.
  • Three trained segmenters manually delineated glottis areas in 20 HSV videos from subjects with and without laryngeal disorders.
  • Intraclass correlation coefficient (ICC) was used to analyze intersegmenter variability across 46 GAW measures provided by GAT.

Main Results:

  • The intraclass correlation coefficient (ICC) for most Glottal Area Waveform (GAW) measures was highly acceptable.
  • ICC values were excellent for 38 parameters (ICC > 0.9), good for seven (0.75 < ICC < 0.9), and moderate for one (0.5 < ICC < 0.75).
  • Minimal differences were observed between segmenters, suggesting robustness of the Glottal Analysis Tools (GAT) measures.

Conclusions:

  • High ICC values confirm the clinical applicability of Glottal Analysis Tools (GAT) for objective, quantitative assessment of high-speed videoendoscopy (HSV) data.
  • Semiautomatic segmentation in GAT demonstrates minimal influence on clinical assessment outcomes, despite potential intersegmenter variability.
  • Standardized segmentation training is recommended prior to clinical application to ensure consistent software performance.