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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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