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Abstract #4981

Signal dropout reduction in PSF mapping based reverse gradient fMRI with reversed partial-Fourier acquisition

Myung-Ho In1, Daehun Kang1, Hang Joon Jo2, Uten Yarach3, Nolan K Meyer1,4, Joshua D Trzasko1, John Huston III1, Matt A Bernstein1, and Yunhong Shu1
1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2Department of Physiology, College of Medicine, Hanyang University, Seoul, Korea, Republic of, 3Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand, 4Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN, United States

Synopsis

An interleaved, reverse gradient fMRI (RG-fMRI) with a point-spread-function mapping-based approach was recently proposed to minimize geometric distortion and signal dropout in echo-planar-imaging (EPI) by acquiring a pair of EPIs with the opposite (forward and reverse) phase-encoding gradient polarity and combining them after distortion correction. This study showed that the effective echo-shift map can be reliably obtained from PSF mapping to predict local signal dropouts. The predicted echo-shifting can provide guidance for protocol optimization for RG-fMRI using partial Fourier (PF) acquisition.

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