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Echo-planar imaging with prospective slice-by-slice motion correction using active markers.

Melvyn B Ooi1, Sascha Krueger, Jordan Muraskin

  • 1Department of Biomedical Engineering, Columbia University, New York, New York, USA. mbooi@stanford.edu

Magnetic Resonance in Medicine
|June 23, 2011
PubMed
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This study introduces real-time head motion correction for functional magnetic resonance imaging (fMRI) using active markers. This prospective method enhances echo-planar imaging stability compared to retrospective approaches, improving clinical fMRI applications.

Area of Science:

  • Neuroimaging
  • Medical Physics
  • Biomedical Engineering

Background:

  • Head motion significantly impacts functional magnetic resonance imaging (fMRI) data quality.
  • Motion artifacts limit the clinical utility and diagnostic accuracy of fMRI.
  • Existing retrospective motion correction methods often fall short in addressing dynamic head movements.

Purpose of the Study:

  • To develop and evaluate a novel prospective, real-time, rigid-body motion correction strategy for echo-planar imaging (EPI).
  • To enhance image stability during fMRI acquisitions by maintaining a fixed scan-plane orientation relative to the subject's head.
  • To assess the impact of prospective motion correction on blood oxygenation level dependent (BOLD) fMRI applications.

Main Methods:

  • Utilized micro radiofrequency coil "active markers" integrated into a headband for precise head tracking.

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  • Implemented a slice-by-slice prospective correction strategy, updating the scan-plane in real-time before each EPI slice acquisition.
  • Acquired EPI data from volunteers undergoing controlled in-plane and through-plane head motions.
  • Introduced a non-rigid-body distortion-correction algorithm to further refine image quality.

    • Main Results:

    • Demonstrated significantly increased image stability in prospectively corrected EPI time series compared to conventional retrospective realignment.
    • Successfully maintained a fixed scan-plane orientation relative to the head during dynamic motion tasks.
    • Showcased improved performance in a blood oxygenation level dependent (BOLD) fMRI experiment utilizing the prospective correction method.
    • Reduced remaining signal variation with the subsequent non-rigid-body distortion correction.

    Conclusions:

    • Prospective, real-time motion correction using active markers offers a superior approach to enhancing fMRI image stability.
    • This technique effectively mitigates motion artifacts, paving the way for more reliable clinical fMRI implementation.
    • Further refinement with non-rigid correction can optimize image quality for advanced neuroimaging applications.