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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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