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Abstract #5159

Analytical G-factor Calculation for Slice-GRAPPA with Dual “Even-Odd” Kernels (SG-DK)

Haifeng Wang1,2, Jonathan R. Polimeni1,2,3, Berkin Bilgic1,2, Lawrence L. Wald 1,2,3, and Kawin Setsompop1,2

1Massachusetts General Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States

Slice-GRAPPA (SG) is often used to reconstruct blipped-CAIPI simultaneous multi-slice EPI data, in particular in conjunction with the dual even-odd kernel approach (SG-DK) to mitigate ghosting related reconstruction artifacts. To achieve good performance in blipped-CAIPI acquisition, the CAIPI shift factor should be optimized in a case by case manner to minimize g-factor penalty. The g-factor is influenced by the reconstruction approach and so far a fast analytical g-factor calculation has been developed only for standard SG reconstruction but not SG-DK, where time-consuming Monte Carlo simulation is still needed. Here we propose an analytical g-factor calculation for SG-DK and demonstrate that the proposed method is fast and accurate. Our simulation and experimental results also highlight the superior performance of SG-DK over SG reconstruction, both in mitigating image artifacts and noise penalty.

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