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Abstract #0382

Ultra-High Resolution 3D Upper Airway MRI with Compressed Sensing and Parallel Imaging

Yoon-Chul Kim1, Shrikanth S. Narayanan1, Krishna S. Nayak1

1Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA

Ultra-high resolution 3D imaging of the vocal tract can provide insight into the shaping that occurs during complex speech articulation. The combined use of compressed sensing (CS) and parallel imaging is investigated to maximize spatial resolution while maintaining scan-time appropriate for a single sound production task (~7 seconds). Compared to conventional reconstructions, boundary depiction was improved by using high-resolution phase constraints, sensitivity encoding, and regularization based on total variation and the l1-norm of the wavelet transform. Eight-fold acceleration was achieved leading to 1.33x1.33x1.33 mm3 resolution and 7-second scan time.