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Abstract #3228

Accelerating Real-time MRI of speech using spiral through-time GRAPPA

Sajan Goud Lingala1, Yinghua Zhu1, Yunhua Ji2, Asterios Toutios1, Wei-Ching Lo3, Nicole Seiberlich3, Shrikanth Narayanan1, and Krishna Nayak1

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States, 2Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 3Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

Real-time MRI (RT-MRI) is a powerful tool to safely assess and quantify the vocal tract dynamics during speech production. In this work, we evaluate the potential of a fast linear reconstruction method through-time GRAPPA (TT-GRAPPA) to efficiently exploit the acceleration capabilities offered by a custom 8-channel upper-airway coil and spiral trajectories and utilize it to improve RT-MRI of speech in visualizing rapid articulatory dynamics. We report feasibilities of 3 to 4 fold acceleration, and demonstrate up to 52 frames per second (18ms/frame) in single slice (2.4 mm2), and three-slice (4.5mm2) imaging. imaging.

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