Paper
30 May 2003 Spatiotemporal visualization of the tongue surface using ultrasound and kriging
Author Affiliations +
Abstract
Analyzing the motion of the tongue surface provides valuable information about speech and swallowing. To analyze this motion, two-dimensional ultrasound images are acquired at video frame rates, and the tongue surface is automatically extracted and tracked. Further processing and statistical analysis of the extracted contours is made difficult by: 1) arbitrary spatial shifts and data loss resulting from ultrasound transducer positioning; 2) difference in tongue lengths over time for same utterance and across subjects; and 3) differences in the sampling locations. To address the above shortcombings, we used kriging to extrapolate and resample the tongue surface contours. Kriging was used becasue it does not lead to wild oscillations associated wiht traditional polynomial fitting. For our kriging implementation, we used the generalized covariance function and linear drift functions that are used in thin plate splines. Further, we designed a dedicated user interface called 'SURFACES' that exploits this extrapolation to visualize the contours as spatiotemporal surfaces. These spatiotemporal surfaces can be readily used for statistical comparison and visualization of tongue shapes for different utterances and swallows.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vijay Parthasarathy, Maureen Stone, and Jerry L. Prince "Spatiotemporal visualization of the tongue surface using ultrasound and kriging", Proc. SPIE 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display, (30 May 2003); https://doi.org/10.1117/12.479724
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Tongue

Statistical analysis

Ultrasonography

Visualization

Transducers

Human-machine interfaces

Motion analysis

Back to Top