1Electrical
and Computer Engineering, University of Arizona, Tucson, AZ, United States; 2Medical
Imaging, University of Arizona, Tucson, AZ, United States; 3Biomedical
Engineering, University of Arizona, Tucson, AZ, United States
Simultaneous Multislice Acquisition (SIMA) by Hadamard-encoded excitation has been proposed as an alternative to 3D volume imaging (3DFT) when acquiring fewer than 64 slices to avoid ringing and leakage artifacts. As slices are excited simultaneously, SIMA enjoys SNR benefits over slice-by-slice imaging similar to 3DFT. In this work, we investigate the use of compressive sampling strategies within the SIMA framework. In addition to Hadamard and complex Hadamard encoding, we introduce the use of Noiselet encoding in SIMA.