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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