Quantitative examination of vocal cords with high-speed video and optical coherence tomography

To directly relate tissue abnormalities to dysfunctional voicing, it is decisive to temporally resolve the vocal fold movement during phonation on the microscopic level. High-speed video (HSV) can record the vocal folds with 2,000-4,000 fps. Ultra-high resolution optical coherence tomography can distinguish cellular layers with a resolution better than 5 μm within a tissue depth of 1 mm. In this review, we propose combining the two technologies and apply deep learning-based image segmentation to establish statistical evident and reproducible documentation for voice-related diseases.