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Abstract #3516

Comparison of leading reconstruction techniques for real-time speech MRI

Weiyi Chen1, Yongwan Lim1, Yannick Bliesener1, Shrikanth S. Narayanan1, and Krishna S. Nayak1

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States

Real-time MRI (RT-MRI) has revolutionized the study of human speech production. Two state-of-the-art reconstruction techniques have been adopted by different groups to accelerate real time imaging, constrained SENSE, and regularized nonlinear inversion. In this study, we describe our best performing implementations of both classes of reconstructions, and compare performance on common data from spiral RT-MRI of human speech at 1.5T.

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