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Abstract #0604

Accelerating Encoded Simultaneous Multi Slice MRI with Compressed Sensing

Sagar Mandava1, Jean-Philippe Galons2, Ali Bilgin1, 3

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.

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Keywords

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