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Real-time adaptive motion correction in functional MRI

C C Lee1, C R Jack, R C Grimm

  • 1Magnetic Resonance Research Laboratory, Mayo Clinic, Rochester, Minnesota 55905, USA.

Magnetic Resonance in Medicine
|September 1, 1996
PubMed
Summary
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Head motion during functional magnetic resonance imaging (fMRI) can be corrected in real time. This new technique prospectively adjusts the imaging plane to minimize motion artifacts, improving data quality for brain imaging studies.

Area of Science:

  • Neuroimaging
  • Medical Physics
  • Biomedical Engineering

Background:

  • Bulk head motion is a significant source of signal degradation in functional magnetic resonance imaging (fMRI).
  • Existing retrospective correction methods are limited by through-plane motion, which is difficult to address after image acquisition.

Purpose of the Study:

  • To introduce a novel technique for real-time, prospective correction of head motion during fMRI.
  • To address the limitations of retrospective methods by correcting through-plane motion before image acquisition.

Main Methods:

  • A navigator echo is employed before each fMRI image acquisition to detect head displacements in the superior/inferior direction.
  • Acquired displacement data is used to dynamically adjust the excitation plane for subsequent single-shot echo-planar fMRI axial images.

Related Experiment Videos

  • Correction updates are performed rapidly (within 100 ms) with high motion sensitivity (≤ 0.5 mm).

    • Main Results:

    • The prospective correction technique effectively accounts for through-plane head motion.
    • Phantom and human studies demonstrate the efficacy of the real-time correction method.
    • Achieved motion sensitivity is at least as small as 0.5 mm.

    Conclusions:

    • Prospective, real-time correction of head motion is feasible and effective for improving fMRI data quality.
    • This technique overcomes limitations of retrospective methods by addressing through-plane motion.
    • The method holds promise for enhancing the reliability and accuracy of brain imaging research.