Origin and minimization of residual motion-related artifacts in navigator-corrected segmented diffusion-weighted EPI of the human brain

Authors

  • Hangyi Jiang,

    1. Department of Radiology, Division of MRI Research, Johns Hopkins University School of Medicine, Baltimore, Maryland
    2. F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland
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  • Xavier Golay,

    1. Department of Radiology, Division of MRI Research, Johns Hopkins University School of Medicine, Baltimore, Maryland
    2. F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland
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  • Peter C.M. van Zijl,

    1. Department of Radiology, Division of MRI Research, Johns Hopkins University School of Medicine, Baltimore, Maryland
    2. F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland
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  • Susumu Mori

    Corresponding author
    1. Department of Radiology, Division of MRI Research, Johns Hopkins University School of Medicine, Baltimore, Maryland
    2. F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland
    • Department of Radiology, 217 Traylor Bldg., 720 Rutland Ave., Johns Hopkins University School of Medicine, Baltimore, MD 21205
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Abstract

Motion sensitivity in diffusion-weighted imaging (DWI) can be effectively suppressed using single-shot echo-planar imaging (EPI). However, segmented (multishot) EPI is often used to increase resolution and reduce spatial distortions, which in turn increases susceptibility to brain motion. The sources of these residual motion artifacts in navigator-echo-corrected segmented EPI images of the brain were investigated. The results indicate that the dominant source of these artifacts is cardiac pulsation with occasional involuntary movement of the subject. The relationship between the cardiac cycle and motion artifacts shows that optimum timing for the data acquisition is possible. In addition it is shown that the effects of involuntary motion can be removed by swapping k-space data between redundant datasets. Magn Reson Med 47:818–822, 2002. © 2002 Wiley-Liss, Inc.

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