Abstract #0609

Analytical G-factor for Cartesian 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

In simultaneous multi-slice (SMS) imaging, a commonly used method to compute the g-factor is the pseudo multiple replica method, whose accuracy depends on the number of simulated replicas. In this work, we derive analytical g-factor maps for SMS acquisitions with arbitrary Cartesian undersampling patterns basing on a hybrid-space SENSE reconstruction. Brain images demonstrate that the analytical g-factor maps agree with those calculated by the pseudo multiple replica method, but require less computation time for high quality maps. The analytical maps enable a fair comparison between coherent and incoherent Cartesian SMS undersampling patterns.

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