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.
| Original language | English (US) |
|---|---|
| Title of host publication | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
| Volume | 7258 |
| DOIs | |
| State | Published - 2009 |
| Event | Medical Imaging 2009: Physics of Medical Imaging - Lake Buena Vista, FL, United States Duration: Feb 9 2009 → Feb 12 2009 |
Other
| Other | Medical Imaging 2009: Physics of Medical Imaging |
|---|---|
| Country | United States |
| City | Lake Buena Vista, FL |
| Period | 2/9/09 → 2/12/09 |
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Keywords
- Motion quantification
- Tongue
- zHARP
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- Electronic, Optical and Magnetic Materials
- Biomaterials
- Radiology Nuclear Medicine and imaging
Cite this
Quantification of three dimensional tongue motion during speech using zHARP. / Liu, Xiaofeng; Zhuo, Jiachen; Agarwal, Harsh; Elmoniem, Khaled Z Abd; Mur, Emi; Stone, Maureen; Gullapalli, Rao; Prince, Jerry Ladd.
Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7258 2009. 725810.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Quantification of three dimensional tongue motion during speech using zHARP
AU - Liu, Xiaofeng
AU - Zhuo, Jiachen
AU - Agarwal, Harsh
AU - Elmoniem, Khaled Z Abd
AU - Mur, Emi
AU - Stone, Maureen
AU - Gullapalli, Rao
AU - Prince, Jerry Ladd
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Motion quantification
KW - Tongue
KW - zHARP
UR - http://www.scopus.com/inward/record.url?scp=66749093062&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=66749093062&partnerID=8YFLogxK
U2 - 10.1117/12.811706
DO - 10.1117/12.811706
M3 - Conference contribution
C2 - 21738384
AN - SCOPUS:66749093062
SN - 9780819475091
VL - 7258
BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
ER -