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

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Published on: November 25, 2017

Vocal folds analysis using global energy tracking.

Gal Elidan1, Josef Elidan

  • 1Department of Statistics, Hebrew University, Jerusalem, Israel. galel@huji.ac.il

Journal of Voice : Official Journal of the Voice Foundation
|January 17, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method to precisely track vocal fold boundaries in laryngeal videos, enabling detailed analysis and potential pathology localization. The new technique accurately captures vocal fold movement for improved diagnostic insights.

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Computational Anatomy

Background:

  • Automated analysis of laryngeal videostroboscopy is challenging for human experts.
  • Current methods for vocal fold analysis provide limited measurements.
  • There is a need for precise automated tracking of vocal fold dynamics.

Purpose of the Study:

  • To develop an automated procedure for consistent vocal fold boundary tracking in laryngeal stroboscopy videos.
  • To enable tracking even during closed glottal phases.
  • To facilitate detailed analysis of vocal fold movement.

Main Methods:

  • Frame-by-frame preprocessing with midpoint identification.
  • Active contour evolution for independent frame boundary detection.
  • Joint active contour energy minimization over the entire video sequence.

Main Results:

  • Accurate tracking of vocal fold boundaries in diverse clinical stroboscopy videos.
  • Successful separation of normal and abnormal subjects based on boundary waveform analysis.
  • Automated hypothesis generation for abnormality localization.

Conclusions:

  • Presents the first method for automated temporal trajectory tracing of the entire vocal fold boundary in stroboscopy videos.
  • Enables novel analysis of all contour regions.
  • Paves the way for automated localization of vocal fold pathologies.