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High‐frame‐rate full‐vocal‐tract 3D dynamic speech imaging
Author(s) -
Fu Maojing,
Barlaz Marissa S.,
Holtrop Joseph L.,
Perry Jamie L.,
Kuehn David P.,
Shosted Ryan K.,
Liang ZhiPei,
Sutton Bradley P.
Publication year - 2017
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.26248
Subject(s) - vocal tract , computer science , frame rate , frame (networking) , dynamic contrast enhanced mri , sampling (signal processing) , temporal resolution , data acquisition , computer vision , speech recognition , artificial intelligence , magnetic resonance imaging , physics , medicine , telecommunications , filter (signal processing) , quantum mechanics , radiology , operating system
Purpose To achieve high temporal frame rate, high spatial resolution and full‐vocal‐tract coverage for three‐dimensional dynamic speech MRI by using low‐rank modeling and sparse sampling. Methods Three‐dimensional dynamic speech MRI is enabled by integrating a novel data acquisition strategy and an image reconstruction method with the partial separability model: (a) a self‐navigated sparse sampling strategy that accelerates data acquisition by collecting high‐nominal‐frame‐rate cone navigator sand imaging data within a single repetition time, and (b) are construction method that recovers high‐quality speech dynamics from sparse ( k , t ) ‐space data by enforcing joint low‐rank and spatiotemporal total variation constraints. Results The proposed method has been evaluated through in vivo experiments. A nominal temporal frame rate of 166 frames per second (defined based on a repetition time of 5.99 ms) was achieved for an imaging volume covering the entire vocal tract with a spatial resolution of 2.2 × 2.2 × 5.0 mm 3 . Practical utility of the proposed method was demonstrated via both validation experiments and a phonetics investigation. Conclusion Three‐dimensional dynamic speech imaging is possible with full‐vocal‐tract coverage, high spatial resolution and high nominal frame rate to provide dynamic speech data useful for phonetic studies. Magn Reson Med 77:1619–1629, 2017. © 2016 International Society for Magnetic Resonance in Medicine