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 Meyer^1,4, 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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