Imaging Method for Visualization of a Larynx Based on Automated Image Analysis

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention describes an imaging method for visualizing the larynx, enabling accurate assessment of vocal cord oscillations (vibration frequency) without relying on high-speed cameras or audio signals. By analyzing standard-rate camera images with automated image analysis — often using neural networks and compressed sensing techniques — the method determines the fundamental frequency (F0) of vocal fold vibrations and uses it to control a light source for stroboscopic imaging. This allows detailed visualization despite using less expensive, conventional imaging equipment and is robust even in noisy environments that would otherwise interfere with audio-based diagnostics.

Use CasesContent extracted from patent full text and abstract with AI.

• Clinical diagnosis of vocal cord disorders in ENT (Ear, Nose, and Throat) practices and hospitals.
• Voice assessment and therapy progress tracking for speech-language pathologists.
• Pre- and post-operative evaluation during laryngeal surgeries.
• Screening and monitoring of professional voice users (singers, teachers, etc.) for early signs of vocal dysfunction.
• Research into laryngeal biomechanics without the need for costly high-speed cameras.

BenefitsContent extracted from patent full text and abstract with AI.

• Eliminates the need for expensive high-speed cameras and sensitive audio equipment, reducing overall diagnostic costs.
• Enables accurate and robust measurement of vocal fold oscillations even in environments with audio contamination or background noise.
• Facilitates real-time or near-real-time laryngeal imaging analysis using standard equipment, making advanced diagnostics more accessible and widespread.
• Automated image analysis, including neural network integration, streamlines workflows and reduces the potential for human error in interpretation.
• Compressed sensing techniques allow reliable signal reconstruction with fewer data points, leading to shorter exams and improved patient comfort.

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Patent Abstract

The present invention relates to an imaging method for visualizing a larynx and/or structures associated with the larynx. According to the invention, high-speed cameras are dispensed with, and a fundamental frequency F0 of the oscillation of the vocal folds is determined by means of automated image analysis without using an audio signal, by means of which fundamental frequency a light source is controlled so that a stroboscopic effect is generated. The fundamental frequency F0 is therefore determined on the basis of image data which are recorded at frequencies below the Shannon-Nyquist criterion and not, as is conventionally the case, on the basis of audio data and/or images from high-speed cameras.