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Abstract #3248

Evaluating The Performance of Four Reconstruction Algorithms for Simultaneous Multi-Slice Imaging

Kangrong Zhu1, Hua Wu2, Robert F. Dougherty2, Matthew J. Middione3, John M. Pauly1, and Adam B. Kerr1

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA, United States, 3Applied Sciences Laboratory West, GE Healthcare, Menlo Park, CA, United States

Several parallel imaging reconstruction algorithms have been proposed for simultaneous multi-slice (SMS) imaging, yet a thorough comparison of the algorithms still awaits investigation. In this study, the performance of four reconstruction algorithms are compared. Relative root-mean-squared error, g-factor, signal leakage, and reconstruction time are used as metrics for evaluating the performance. This work may provide a reference for the SMS community to choose from different reconstruction algorithms.

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