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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