High-frame-rate full-vocal-tract 3D dynamic speech imaging.
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.



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.



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 mm3. Practical utility of the proposed method was demonstrated via both validation experiments and a phonetics investigation.



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.
Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.|Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Maojing
M
Fu
Linguistics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Marissa S
MS
Barlaz
Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.|Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Joseph L
JL
Holtrop
Communication Sciences and Disorders, East Carolina University, Greenville, North Carolina, USA.
Jamie L
JL
Perry
Speech and Hearing Science, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
David P
DP
Kuehn
Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.|Linguistics, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Ryan K
RK
Shosted
Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.|Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Zhi-Pei
ZP
Liang
Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.|Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Bradley P
BP
Sutton
D000328:Adult; D000465:Algorithms; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007830:Larynx / Q000033:anatomy & histology / Q000000981:diagnostic imaging / Q000502:physiology; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D008297:Male; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013060:Speech / Q000502:physiology*; D013068:Speech Production Measurement / Q000379:methods*; D014059:Tongue / Q000033:anatomy & histology / Q000000981:diagnostic imaging* / Q000502:physiology; D055815:Young Adult
cone navigation; dynamic speech imaging; low-rank approximation; partial separability; sparsity