Speech Map: a statistical multimodal atlas of 4D tongue motion during speech from tagged and cine MR images

Woo, Jonghye; Xing, Fangxu; Stone, Maureen; Green, Jordan R.; Reese, Timothy G.; Brady, Thomas J.; Wedeen, Van J.; Prince, Jerry L.; Fakhri, Georges El

doi:10.1080/21681163.2017.1382393

Cited by 20 publications

(17 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Particularly appealing options include HARmonic Phase (HARP) and Displacement ENcoding with Stimulated Echoes (DENSE), allowing faster and simpler post processing and analysis. HARP has been adapted for speech production in the CINE framework . More rapid data acquisition implementation by echo planar imaging was proposed for cardiac HARP, in which only the spectral peak of interest was acquired.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Intermittently tagged real‐time MRI reveals internal tongue motion during speech production

Chen

Byrd

Narayanan

et al. 2019

Magnetic Resonance in Med

View full text Add to dashboard Cite

Purpose To demonstrate a tagging method compatible with RT‐MRI for the study of speech production. Methods Tagging is applied as a brief interruption to a continuous real‐time spiral acquisition. Tagging can be initiated manually by the operator, cued to the speech stimulus, or be automatically applied with a fixed frequency. We use a standard 2D 1‐3‐3‐1 binomial SPAtial Modulation of Magnetization (SPAMM) sequence with 1 cm spacing in both in‐plane directions. Tag persistence in tongue muscle is simulated and validated in vivo. The ability to capture internal tongue deformations is tested during speech production of American English diphthongs in native speakers. Results We achieved an imaging window of 650‐800 ms at 1.5T, with imaging signal to noise ratio ≥ 17 and tag contrast to noise ratio ≥ 5 in human tongue, providing 36 frames/s temporal resolution and 2 mm in‐plane spatial resolution with real‐time interactive acquisition and view‐sharing reconstruction. The proposed method was able to capture tongue motion patterns and their relative timing with adequate spatiotemporal resolution during the production of American English diphthongs and consonants. Conclusion Intermittent tagging during real‐time MRI of speech production is able to reveal the internal deformations of the tongue. This capability will allow new investigations of valuable spatiotemporal information on the biomechanics of the lingual subsystems during speech without reliance on binning speech utterance repetition.

show abstract

Section: Discussionmentioning

confidence: 99%

“…HARP has been adapted for speech production in the CINE framework. 33,36,37,58,61 More rapid data acquisition implementation by echo planar imaging was proposed for cardiac HARP, 42 in which only the spectral peak of interest was acquired. DENSE provides higher sensitivity and spatial resolution.…”

Section: Discussionmentioning

confidence: 99%

Intermittently tagged real‐time MRI reveals internal tongue motion during speech production

Chen

Byrd

Narayanan

et al. 2019

Magnetic Resonance in Med

View full text Add to dashboard Cite

show abstract

“…Note that in this work, we use a Lagrangian definition to root every motion field in the undeformed frame (material framework X ). In this way, no matter what quantities we compute over time, they are always mapped and displayed on the undeformed frame and the tongue appears “motionless” [15] . The reason we select the Lagrangian framework instead of Eulerian is because DTI quantities are to be acquired in a static space so that it is necessary to also use a motionless framework for the atlas to later establish a connection between the atlas space and the DTI b0 space.…”

Section: Methodsmentioning

confidence: 99%

“…To address the problems described above, in this work we propose a method to compute strain in the line of action of tongue muscles with the aid of 4D motion atlases [14,15] constructed from normal subjects. Since atlases of the tongue have been a useful tool in analyzing motion in subject-specific spaces [16] , they can be applied in various scenarios to provide missing information in a statistical way.…”

Section: Introductionmentioning

confidence: 99%

Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI

Xing

Prince

Stone

et al. 2018

Medical Imaging 2018: Image Processing

Self Cite

View full text Add to dashboard Cite

Amyotrophic Lateral Sclerosis (ALS) is a neurological disease that causes death of neurons controlling muscle movements. Loss of speech and swallowing functions is a major impact due to degeneration of the tongue muscles. In speech studies using magnetic resonance (MR) techniques, diffusion tensor imaging (DTI) is used to capture internal tongue muscle fiber structures in three-dimensions (3D) in a non-invasive manner. Tagged magnetic resonance images (tMRI) are used to record tongue motion during speech. In this work, we aim to combine information obtained with both MR imaging techniques to compare the functionality characteristics of the tongue between normal and ALS subjects. We first extracted 3D motion of the tongue using tMRI from fourteen normal subjects in speech. The estimated motion sequences were then warped using diffeomorphic registration into the b0 spaces of the DTI data of two normal subjects and an ALS patient. We then constructed motion atlases by averaging all warped motion fields in each b0 space, and computed strain in the line of action along the muscle fiber directions provided by tractography. Strain in line with the fiber directions provides a quantitative map of the potential active region of the tongue during speech. Comparison between normal and ALS subjects explores the changing volume of compressing tongue tissues in speech facing the situation of muscle degradation. The proposed framework provides for the first time a dynamic map of contracting fibers in ALS speech patterns, and has the potential to provide more insight into the detrimental effects of ALS on speech.

show abstract

“…The deformation of these tag lines can be measured using dynamic imaging and then used to evaluate the properties of the imaged object, such as myocardial motion, limb maneuver, eye‐ball rotation, brain deformation, and tongue movement . The measured deformations can be further used to quantify muscle mechanics, such as strain and torsion in the heart, and to develop atlases of motion within the tongue …”

Section: Introductionmentioning

confidence: 99%

Improved real‐time tagged MRI using REALTAG

Chen

Lee

Byrd

et al. 2019

Magnetic Resonance in Med

View full text Add to dashboard Cite

Objectives:To evaluate a novel method for real-time tagged MRI with increased tag persistence using phase sensitive tagging (REALTAG), demonstrated for speech imaging. Methods: Tagging is applied as a brief interruption to a continuous real-time spiral acquisition. REALTAG is implemented using a total tagging flip angle of 180° and a novel frame-by-frame phase sensitive reconstruction to remove smooth background phase while preserving the sign of the tag lines. Tag contrast-to-noise ratio of REALTAG and conventional tagging (total flip angle of 90°) is simulated and evaluated in vivo. The ability to extend tag persistence is tested during the production of vowel-to-vowel transitions by American English speakers. Results: REALTAG resulted in a doubling of contrast-to-noise ratio at each time point and increased tag persistence by more than 1.9-fold. The tag persistence was 1150 ms with contrast-to-noise ratio >6 at 1.5T, providing 2 mm in-plane resolution, 179 frames/s, with 72.6 ms temporal window width, and phase sensitive reconstruction. The new imaging window is able to capture internal tongue deformation over word-to-word transitions in natural speech production. Conclusion: Tag persistence is substantially increased in intermittently tagged realtime MRI by using the improved REALTAG method. This makes it possible to capture longer motion patterns in the tongue, such as cross-word vowel-to-vowel transitions, and provides a powerful new window to study tongue biomechanics.

show abstract

Speech Map: a statistical multimodal atlas of 4D tongue motion during speech from tagged and cine MR images

Cited by 20 publications

References 34 publications

Intermittently tagged real‐time MRI reveals internal tongue motion during speech production

Intermittently tagged real‐time MRI reveals internal tongue motion during speech production

Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI

Improved real‐time tagged MRI using REALTAG

Contact Info

Product

Resources

About