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Abstract #0680

Prospective motion correction for 3D GRASE pCASL with volumetric navigators

Xingfeng Shao1, M. Dylan Tisdall2, Danny JJ Wang1, and Andre Jan Willem van der Kouwe3,4

1Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and InformaticsĀ Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Radiology, Harvard Medical School, Boston, MA, United States

We propose a prospective motion correction approach for background suppressed (BS) segmented 3D GRASE pCASL using volumetric EPI-based navigators (vNavs), which causes minimal contrast change and no extra time. vNavs reduced motion artifacts effectively and increased temporal signal-to-noise ratio (t-SNR). Principle component analysis (PCA) is able to further reduce residual motion artifacts and restore the details of gyral structure in perfusion weighted images.

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