Quantification of three-dimensional tongue motion during speech using zHARP

Xiaofeng Liu; Jiachen Zhuo; Harsh Agarwal; Khaled Z. Abd-Elmoniem; Emi Murano; Maureen Stone; Rao Gullapalli; Jerry L. Prince

doi:10.1117/12.811706

13 March 2009 Quantification of three-dimensional tongue motion during speech using zHARP

Xiaofeng Liu, Jiachen Zhuo, Harsh Agarwal, Khaled Z. Abd-Elmoniem, Emi Murano, Maureen Stone, Rao Gullapalli, Jerry L. Prince

Author Affiliations +

Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 725810 (2009) https://doi.org/10.1117/12.811706
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

To understand the role of the tongue in speech production, it is desirable to directly image the motion and strain of the muscles within the tongue. Magnetic resonance tagging-which was originally developed for cardiac imaging-has previously been applied to image both two-dimensional and three-dimensional tongue motion during speech. However, to quantify three-dimensional motion and strain, multiple images yielding two-dimensional motion must be acquired at different orientations and then interpolated - a time-consuming task both in image acquisition and processing. Recently, a new MR imaging and image processing method called zHARP was developed to encode and track 3D motion from a single slice without increasing acquisition time. zHARP was originally developed and applied to cardiac imaging. The application of zHARP to the tongue is not straightforward because the tongue in repetitive speech does not move as consistently as the heart in its beating cycle. Therefore tongue images are more susceptible to motion artifacts. Moreover, these artifacts are greatly exaggerated as compared to conventional tagging because of the nature of zHARP acquisition. In this work, we re-implemented the zHARP imaging sequence and optimized it for the tongue motion analysis. We also optimized image acquisition by designing and developing a specialized MRI scanner triggering method and vocal repetition to better synchronize speech repetitions. Our method was validated using a moving phantom. Results of 3D motion tracking and strain analysis on the tongue experiments demonstrate the effectiveness of this method.

Citation Download Citation

Xiaofeng Liu, Jiachen Zhuo, Harsh Agarwal, Khaled Z. Abd-Elmoniem, Emi Murano, Maureen Stone, Rao Gullapalli, and Jerry L. Prince "Quantification of three-dimensional tongue motion during speech using zHARP", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 725810 (13 March 2009); https://doi.org/10.1117/12.811706

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Tongue

3D image processing

3D acquisition

Magnetic resonance imaging

Image processing

Imaging systems

Motion measurement

Show All Keywords

Keywords/Phrases

Search In:

Publication Years