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Abstract #0614

Improved 3D real-time MRI with Stack-of-Spiral (SOSP) trajectory and variable density randomized encoding of speech production

Ziwei Zhao1, Yongwan Lim1, Dani Byrd 2, Shrikanth Narayanan1, and Krishna Nayak1
1Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States, 2Department of Linguistics, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, United States

3D real-time (RT) MRI is a useful tool in speech production research, as it enables full visualization of the dynamics of vocal tract shaping during natural speech. Limited spatial and temporal resolution, and a tradeoff between them, is however common in highly accelerated MRI. In this work, we demonstrate improved spatio-temporal resolution by using variable density randomized stack-of-spiral sampling and a constrained reconstruction. We can capture rapid movement of articulators, specifically lips and tongue body movements at both normal and rapid speech rates, yielding a substantial improvement over prior approaches in measuring fine details of human speech production.

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