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Enhancing linguistic research through 2‐mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low‐rank reconstruction

PURPOSE: To enable a more comprehensive view of articulations during speech through near‐isotropic 3D dynamic MRI with high spatiotemporal resolution and large vocal‐tract coverage. METHODS: Using partial separability model‐based low‐rank reconstruction coupled with a sparse acquisition of both spat...

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Autores principales: Jin, Riwei, Shosted, Ryan K., Xing, Fangxu, Gilbert, Imani R., Perry, Jamie L., Woo, Jonghye, Liang, Zhi‐Pei, Sutton, Bradley P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712260/
https://www.ncbi.nlm.nih.gov/pubmed/36289572
http://dx.doi.org/10.1002/mrm.29486
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author Jin, Riwei
Shosted, Ryan K.
Xing, Fangxu
Gilbert, Imani R.
Perry, Jamie L.
Woo, Jonghye
Liang, Zhi‐Pei
Sutton, Bradley P.
author_facet Jin, Riwei
Shosted, Ryan K.
Xing, Fangxu
Gilbert, Imani R.
Perry, Jamie L.
Woo, Jonghye
Liang, Zhi‐Pei
Sutton, Bradley P.
author_sort Jin, Riwei
collection PubMed
description PURPOSE: To enable a more comprehensive view of articulations during speech through near‐isotropic 3D dynamic MRI with high spatiotemporal resolution and large vocal‐tract coverage. METHODS: Using partial separability model‐based low‐rank reconstruction coupled with a sparse acquisition of both spatial and temporal models, we are able to achieve near‐isotropic resolution 3D imaging with a high frame rate. The total acquisition time of the speech acquisition is shortened by introducing a sparse temporal sampling that interleaves one temporal navigator with four randomized phase and slice‐encoded imaging samples. Memory and computation time are improved through compressing coils based on the region of interest for low‐rank constrained reconstruction with an edge‐preserving spatial penalty. RESULTS: The proposed method has been evaluated through experiments on several speech samples, including a standard reading passage. A near‐isotropic 1.875 × 1.875 × 2 mm(3) spatial resolution, 64‐mm through‐plane coverage, and a 35.6‐fps temporal resolution are achieved. Investigations and analysis on specific speech samples support novel insights into nonsymmetric tongue movement, velum raising, and coarticulation events with adequate visualization of rapid articulatory movements. CONCLUSION: Three‐dimensional dynamic images of the vocal tract structures during speech with high spatiotemporal resolution and axial coverage is capable of enhancing linguistic research, enabling visualization of soft tissue motions that are not possible with other modalities.
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spelling pubmed-97122602023-04-13 Enhancing linguistic research through 2‐mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low‐rank reconstruction Jin, Riwei Shosted, Ryan K. Xing, Fangxu Gilbert, Imani R. Perry, Jamie L. Woo, Jonghye Liang, Zhi‐Pei Sutton, Bradley P. Magn Reson Med Research Articles–Imaging Methodology PURPOSE: To enable a more comprehensive view of articulations during speech through near‐isotropic 3D dynamic MRI with high spatiotemporal resolution and large vocal‐tract coverage. METHODS: Using partial separability model‐based low‐rank reconstruction coupled with a sparse acquisition of both spatial and temporal models, we are able to achieve near‐isotropic resolution 3D imaging with a high frame rate. The total acquisition time of the speech acquisition is shortened by introducing a sparse temporal sampling that interleaves one temporal navigator with four randomized phase and slice‐encoded imaging samples. Memory and computation time are improved through compressing coils based on the region of interest for low‐rank constrained reconstruction with an edge‐preserving spatial penalty. RESULTS: The proposed method has been evaluated through experiments on several speech samples, including a standard reading passage. A near‐isotropic 1.875 × 1.875 × 2 mm(3) spatial resolution, 64‐mm through‐plane coverage, and a 35.6‐fps temporal resolution are achieved. Investigations and analysis on specific speech samples support novel insights into nonsymmetric tongue movement, velum raising, and coarticulation events with adequate visualization of rapid articulatory movements. CONCLUSION: Three‐dimensional dynamic images of the vocal tract structures during speech with high spatiotemporal resolution and axial coverage is capable of enhancing linguistic research, enabling visualization of soft tissue motions that are not possible with other modalities. John Wiley and Sons Inc. 2022-10-26 2023-02 /pmc/articles/PMC9712260/ /pubmed/36289572 http://dx.doi.org/10.1002/mrm.29486 Text en © 2022 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles–Imaging Methodology
Jin, Riwei
Shosted, Ryan K.
Xing, Fangxu
Gilbert, Imani R.
Perry, Jamie L.
Woo, Jonghye
Liang, Zhi‐Pei
Sutton, Bradley P.
Enhancing linguistic research through 2‐mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low‐rank reconstruction
title Enhancing linguistic research through 2‐mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low‐rank reconstruction
title_full Enhancing linguistic research through 2‐mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low‐rank reconstruction
title_fullStr Enhancing linguistic research through 2‐mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low‐rank reconstruction
title_full_unstemmed Enhancing linguistic research through 2‐mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low‐rank reconstruction
title_short Enhancing linguistic research through 2‐mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low‐rank reconstruction
title_sort enhancing linguistic research through 2‐mm isotropic 3d dynamic speech mri optimized by sparse temporal sampling and low‐rank reconstruction
topic Research Articles–Imaging Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712260/
https://www.ncbi.nlm.nih.gov/pubmed/36289572
http://dx.doi.org/10.1002/mrm.29486
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