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Published on: May 6, 2014
Measuring tongue motion from tagged cine-MRI using harmonic phase (HARP) processing
Vijay Parthasarathy1, Jerry L Prince, Maureen Stone
1Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
The Journal of the Acoustical Society of America
|February 15, 2007
Summary
This study introduces harmonic phase MRI (HARP-MRI) to precisely measure tongue movement and deformation during speech. This advanced imaging technique provides detailed insights into tongue kinematics and muscle activity.
Area of Science:
- Biomedical Engineering
- Speech Science
- Medical Imaging
Background:
- Understanding tongue biomechanics during speech is crucial for diagnosing and treating speech disorders.
- Previous methods for measuring tongue motion had limitations in capturing internal deformation.
- Magnetic Resonance Imaging (MRI) offers a non-invasive way to visualize soft tissue dynamics.
Purpose of the Study:
- To develop and validate a novel MRI-based method for quantifying tongue motion and internal deformation during speech production.
- To assess the utility of harmonic phase MRI (HARP-MRI) in analyzing speech-related tongue kinematics.
- To provide detailed measurements of tissue displacement, velocity, and strain within the tongue.
Main Methods:
- Acquisition of cine tagged MRI data in sagittal, coronal, and axial planes during the utterance "disouk" (/disuk/).
- Application of harmonic phase MRI (HARP-MRI) processing to tagged MR images for calculating tissue motion and deformation.
- Pixel-level analysis of displacement, velocity, principal strains, and muscle line-of-action strains.
Main Results:
- HARP-MRI successfully quantified tongue motion and internal deformation with high spatial resolution.
- Measurements included displacement, velocity, and strain fields across the entire tongue volume.
- The technique allowed for detailed analysis of tongue kinematics during speech, extending beyond tag intersections.
Conclusions:
- HARP-MRI is a powerful tool for in vivo measurement of tongue biomechanics during speech.
- This method enhances our understanding of tongue kinematics and provides a basis for hypothesizing internal muscle activation patterns.
- The detailed deformation data can inform clinical assessments and therapeutic strategies for speech impairments.
