Endoscope motion compensation for laryngeal high-speed videoendoscopy

Area of Science:

• Medical Imaging
• Otolaryngology
• Biomedical Engineering

Background:

• Laryngeal high-speed videoendoscopy (HSV) is crucial for voice disorder diagnosis.
• Endoscopic motion artifacts hinder accurate vocal fold analysis.
• Existing methods lack precision for subpixel motion compensation.

Purpose of the Study:

• To develop and evaluate an automatic motion compensation (MC) method for laryngeal HSV.
• To address left-right and posterior-anterior endoscopic shifts.
• To assess the subpixel accuracy, validity, and reliability of the MC method.

Main Methods:

• Developed an MC algorithm leveraging differences between endoscopic and vocal fold dynamics.
• Assessed MC accuracy using simulated HSV data with known trajectories.
• Evaluated MC accuracy and reliability on real HSV data.
• Correlated objective MC results with perceptual ratings for validity.

Main Results:

• The MC method achieved subpixel accuracy on both simulated and real HSV data.
• Demonstrated reliable performance in compensating for endoscopic motion.
• Perceptual ratings showed high intra- and interrater reliability.
• Quantitative and perceptual assessments of endoscopic motion were in agreement.

Conclusions:

• The developed automatic MC method is accurate and reliable for laryngeal HSV.
• This technique offers a promising solution for improving visual and quantitative voice assessment.
• Addresses a persistent challenge in laryngeal imaging analysis.