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Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI

Authors

  • M. Dylan Tisdall,

    Corresponding author
    1. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
    2. Department of Radiology, Harvard Medical School, Brookline, Massachusetts, USA
    • Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Building 149, 13th street, Charlestown, Massachusetts
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  • Aaron T. Hess,

    1. Department of Human Biology, MRC/UCT Medical Imaging Research Unit, University of Cape Town, South Africa
    2. Department of Human Biology, MRC/UCT Medical Imaging Research Unit, University of Cape Town, South Africa
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  • Martin Reuter,

    1. Department Neurology, Massachusetts General Hospital, Charlestown, Massachusetts, USA
    2. Department Neurology, Harvard Medical School, Brookline, Massachusetts, USA
    3. Computer Science and AI Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
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  • Ernesta M. Meintjes,

    1. Department of Human Biology, MRC/UCT Medical Imaging Research Unit, University of Cape Town, South Africa
    2. Department of Human Biology, MRC/UCT Medical Imaging Research Unit, University of Cape Town, South Africa
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  • Bruce Fischl,

    1. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
    2. Department of Radiology, Harvard Medical School, Brookline, Massachusetts, USA
    3. Computer Science and AI Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
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  • André J. W. van der Kouwe

    1. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
    2. Department of Radiology, Harvard Medical School, Brookline, Massachusetts, USA
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Abstract

We introduce a novel method of prospectively compensating for subject motion in neuroanatomical imaging. Short three-dimensional echo-planar imaging volumetric navigators are embedded in a long three-dimensional sequence, and the resulting image volumes are registered to provide an estimate of the subject's location in the scanner at a cost of less than 500 ms, ∼ 1% change in contrast, and ∼3% change in intensity. This time fits well into the existing gaps in sequences routinely used for neuroimaging, thus giving a motion-corrected sequence with no extra time required. We also demonstrate motion-driven selective reacquisition of k-space to further compensate for subject motion. We perform multiple validation experiments to evaluate accuracy, navigator impact on tissue intensity/contrast, and the improvement in final output. The complete system operates without adding additional hardware to the scanner and requires no external calibration, making it suitable for high-throughput environments. Magn Reson Med, 2012. © 2011 Wiley Periodicals, Inc.

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