Maojing Fu1, 2, Anthony G. Christodoulou1, 2, Andrew T. Naber3, David P. Kuehn4, Zhi-Pei Liang1, 2, Bradley P. Sutton, 23
1Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States; 2Beckman Institute for Advanced Science and Technology, Urbana, IL, United States; 3Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States; 4Department of Speech and Hearing Science, University of Illinois at Urbana-Champaign, Urbana, IL, United States
Dynamic MRI can provide a valuable tool to quantitatively assess changes in oropharyngeal dynamics during speech. In this work we present 5-slice dynamic speech imaging at a frame rate of 20 fps with 2.2 mm 2.2 mm 8.0 mm spatial resolution. It was successfully performed by incorporating parallel imaging methods, a composite spiral / Cartesian sampling strategy, and a reconstruction scheme exploiting the partial separability and the spatial-spectral sparsity of the speech image sequence. Changing tongue shape is observed over a speech sample in volunteer subjects.