Abstract #3726

A comparison of time-series SNR and Nyquist ghosting with different parallel imaging autocalibration acquisition schemes in 7 T fMRI with a chin task

Pedro Lima Cardoso¹, Jonathan R. Polimeni², Benedikt Poser³, Markus Barth⁴, Siegfried Trattnig¹, and Simon Daniel Robinson¹

¹High Field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, ²Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, United States, ³Maastricht Brain Imaging Center, Maastricht University, Maastricht, Netherlands, ⁴Center for Advanced Imaging, University of Queensland, Brisbane, Australia

The present study assesses time-series SNR and residual aliasing (ghosting) levels in accelerated EPI acquisitions at 7 T using single-shot (SS), multi-shot (MS), FLASH and FLEET autocalibration signal acquisition schemes for GRAPPA reconstruction in resting-state and in a chin task (commonly used in fMRI for presurgical planning), which elicits head motion and, consequently, changes in ΔB₀. FLASH and FLEET acquisitions yielded significantly higher average tSNR values compared to SS and MS in the chin task and no significant residual aliasing enhancement in both resting-state and chin tasks.

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