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µTongue: A Microfluidics-Based Functional Imaging Platform for the Tongue In Vivo
Published on: April 22, 2021
Single syllable tongue motion analysis using tagged cine MRI.
Devrim Unay1, Cengizhan Ozturk, Maureen Stone
1a Department of Biomedical Engineering , Bahcesehir University , Istanbul , Turkey.
Computer Methods in Biomechanics and Biomedical Engineering
|October 16, 2012
Summary
Human tongue movements during speech reveal unique patterns for different syllables. Advanced 4D analysis captures subtle muscle dynamics missed by surface observation, aiding speech motor control research.
Area of Science:
- Speech motor control
- Biomechanics
- Medical imaging
Background:
- The human tongue's complex muscle activity influences speech production and can indicate motor control or pathological issues.
- Understanding tongue motion is crucial for diagnosing and treating speech disorders.
Purpose of the Study:
- To analyze 2D surface deformation and 4D compression-expansion of the tongue during speech.
- To investigate unique tongue motion patterns associated with different syllable utterances.
- To evaluate the efficacy of 4D motion analysis in capturing subtle tongue dynamics.
Main Methods:
- Tagged magnetic resonance imaging (tMRI) was employed to capture detailed tongue movements.
- 2D surface deformation analysis was performed on the tongue's shape.
- 4D compression-expansion analysis provided insights into muscle dynamics during speech tasks.
- Repetitive speech tasks (uttering /ba/, /ta/, /sha/, /ga/) were conducted to ensure motion analysis repeatability.
Main Results:
- Distinctive tongue motion patterns were identified for the production of different syllables (/ba/, /ta/, /sha/, /ga/).
- 4D motion-based analysis revealed subtle muscle dynamics not apparent through 2D surface analysis alone.
- The study confirmed the repeatability of the motion analysis across multiple trials.
Conclusions:
- The human tongue exhibits unique, syllable-specific movement strategies during speech.
- 4D motion-based analysis offers a more comprehensive understanding of tongue muscle activity than traditional surface analysis.
- This advanced imaging technique holds potential for improved diagnosis and understanding of speech motor control and pathologies.

