Abstract

The tracking of deformable objects in image sequences has been a topic of intensive research for many years, and many application‐specific solutions have been proposed. In this work, we describe a method that was developed to robustly track the tissue structures of the human vocal tract in midsagittal, real‐time magnetic resonance (MR) images. The goal of the algorithm is to fully automatically extract the vocal tract outline, the position of the articulators, and the tract variables to facilitate the study of the shaping of the vocal tract during speech production. The algorithm is unsupervised and requires only a one‐time initialization step for a particular subject. Importantly, the tracking algorithm operates on the spatial frequency domain representation of the underlying images, and it is hence specifically fit to the data produced in the MR imaging process. The proposed method carries out a multiregion segmentation of …

Date

November 1, 2007

Authors

Erik Bresch, Shrikanth Narayanan

Journal

The Journal of the Acoustical Society of America

Volume

122

Issue

5_Supplement

Pages

3030-3030

Publisher

Acoustical Society of America