Analysis of vocal folds movement in high speed videoendoscopy based on level set segmentation and image registration

Computer analysis of high-speed videoendoscopy (HSV) recordings is becoming increasingly useful in functional evaluation of vocal fold pathology. In this work we present two new approaches for the vocal fold HSV-based analysis that have not been previously reported. First, segmentation of vocal fold edges is performed in our method using the level set algorithm. Second, having two vocal fold contours (for two images) we find point-to-point matching of them using the image registration method based on B-spline free form deformation. Presented results from analysis of normal vocal folds and folds after laser treatment confirm usefulness of the method.