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Updated: May 13, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

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Preprocessing techniques for high-speed videoendoscopy analysis.

Takeshi Ikuma1, Melda Kunduk, Andrew J McWhorter

  • 1Department of Otolaryngology-Head and Neck Surgery, Louisiana State University Health Sciences Center, Baton Rouge, Louisiana 70808, USA. tikuma@ieee.org

Journal of Voice : Official Journal of the Voice Foundation
|March 16, 2013
PubMed
Summary
This summary is machine-generated.

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High-speed videoendoscopy (HSV) analysis is streamlined with new intensity-based representations. The Quick Vibratory Profile (QVP) and spatial profiles efficiently identify vocal fold vibration and segments for analysis.

Area of Science:

  • Laryngology
  • Biomedical Engineering
  • Speech Science

Background:

  • High-speed videoendoscopy (HSV) generates extensive data, requiring efficient methods for analysis.
  • Clinical utility of HSV is limited by the time-consuming review of video data.
  • Need for rapid identification of relevant vocal fold vibration segments in HSV recordings.

Purpose of the Study:

  • To propose novel intensity-based representations for efficient analysis of HSV data.
  • To introduce the Quick Vibratory Profile (QVP) for rapid overview of vocal fold dynamics.
  • To develop spatial profiles for locating vibrating vocal folds and automating objective assessments.

Main Methods:

  • Development of the Quick Vibratory Profile (QVP), a 1D waveform from HSV data.

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Related Experiment Videos

Last Updated: May 13, 2026

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Published on: December 3, 2013

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  • Introduction of spatial profiles to delineate vocal fold location within HSV frames.
  • Demonstration of QVP and spatial profiles in a cyclewise 3D glottal area segmentation.

    • Main Results:

    • The QVP effectively captures vocal fold vibration and nonglottic activities.
    • Spatial profiles accurately locate vibrating vocal folds in HSV recordings.
    • Combined QVP and spatial profiles enable efficient, automated glottal area segmentation.

    Conclusions:

    • Intensity-based representations, including QVP and spatial profiles, significantly expedite HSV data analysis.
    • These methods facilitate rapid selection of video segments for subjective and objective assessments.
    • The proposed techniques enhance the clinical applicability of high-speed videoendoscopy.