Enhancing linguistic research through 2-mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low-rank reconstruction.
Enhancing linguistic research through 2-mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low-rank reconstruction.
复制标题
通过稀疏时间采样和低秩重建优化的 2 毫米各向同性 3D 动态语音 MRI 加强语言研究。
DOI:
10.1002/mrm.29486
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发表时间:
2023-02
影响因子:
3.3
通讯作者:
Sutton, Bradley P.
中科院分区:
文献类型:
--
作者:
Jin, Riwei;Shosted, Ryan K.;Xing, Fangxu;Gilbert, Imani R.;Perry, Jamie L.;Woo, Jonghye;Liang, Zhi-Pei;Sutton, Bradley P.
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. 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. 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 mm3 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. 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. Click here for author‐reader discussions
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DOI:
10.1109/taslp.2018.2800280
发表时间:
2018-05
期刊:
IEEE/ACM transactions on audio, speech, and language processing
影响因子:
--
作者:
Vaz C;Ramanarayanan V;Narayanan S
通讯作者:
Narayanan S
影响因子:
4.4
作者:
Kim, Yoon-Chul;Proctor, Michael I.;Narayanan, Shrikanth S.;Nayak, Krishna S.
通讯作者:
Nayak, Krishna S.
影响因子:
3.3
作者:
Buehrer, Martin;Pruessmann, Klaas P.;Kozerke, Sebastian
通讯作者:
Kozerke, Sebastian
影响因子:
1.9
作者:
STONE, M;HAMLET, S
通讯作者:
HAMLET, S
影响因子:
10.6
作者:
Wen, You-Wei;Chan, Raymond H.
通讯作者:
Chan, Raymond H.