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Abstract #4170

Accelerated Water-Fat Separation Using Parallel Imaging, Compressed Sensing, and Multiscale Cubic B-Splines

Samir D. Sharma1, Houchun H. Hu2, Krishna S. Nayak1

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States; 2Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States

Chemical shift-encoded water-fat separation techniques are used in both research and clinical settings because they are highly robust to off-resonance. A tradeoff when using these techniques is a longer scan time since data must be collected at multiple echo-times. Previous works have proposed to use either parallel imaging or compressed sensing to shorten the scan time. In this work, we introduce a joint parallel imaging and compressed sensing approach for water-fat separation. The proposed approach is compared to an existing parallel imaging and water-fat separation method. We demonstrate 3.4x 1D acceleration with the proposed approach.