Flexible Fiber-Optic High-Speed Imaging of Vocal Fold Vibration: A Preliminary Report

Peak Woo, Peter Baxter

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Objective High-speed video (HSV) imaging of vocal fold vibration has been possible only through the rigid endoscope. This study reports that a fiberscope-based high-speed imaging system may allow HSV imaging of naturalistic voicing. Materials and methods Twenty-two subjects were recorded using a commercially available black and white high-speed camera (Photron Motion Tools, 256 × 120 pixel, 2000 frames per second, 8 second acquisition time). The camera gain is set to +6 db. The camera is coupled to a standard fiber-optic laryngoscope (Olympus ENF P-4) with a 300-W Xenon light. Image acquisition was done by asking the subject to perform repeated phonation at modal phonation. Video images were processed using commercial video editing and video noise reduction software (After effects, Magix, and Neat Video 4.1). After video processing, the video images were analyzed using digital kymography (DKG). Results The HSV black and white video acquired by the camera is gray and lacks contrast. By adjustment of image contrast, brightness, and gamma and using noise reduction software, the flexible laryngoscopy image can be converted to video image files suitable for DKG and waveform analysis. The increased noise still makes edge tracking for objective analysis difficult, but subjective analysis of DKG plot is possible. Conclusions This is the first report of HSV acquisition in an unsedated patient using a fiberscope. Image enhancement and noise reduction can enhance the HSV to allow extraction of the digital kymogram. Further image enhancement may allow for objective analysis of the vibratory waveform.

Original languageEnglish
Pages (from-to)175-181
Number of pages7
JournalJournal of Voice
Volume31
Issue number2
DOIs
StatePublished - 1 Mar 2017

Keywords

  • Digital kymography
  • Fiber-optic laryngoscopy
  • High-speed video laryngoscopy
  • Image noise reduction
  • Video image enhancement

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