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Improved image registration by using Fourier interpolation

W F Eddy1, M Fitzgerald, D C Noll

  • 1Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Magnetic Resonance in Medicine
|December 1, 1996
PubMed
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This study introduces a novel Fourier domain registration technique for functional magnetic resonance imaging (fMRI) to correct head motion. The method achieves accurate motion correction without image distortion, enhancing activation detection in fMRI studies.

Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Image Processing

Background:

  • Functional magnetic resonance imaging (fMRI) is susceptible to motion artifacts.
  • Accurate image registration is crucial for reliable fMRI analysis.
  • Existing methods may introduce local distortions or be computationally intensive.

Purpose of the Study:

  • To develop a 2D rigid-body image registration technique for fMRI.
  • To achieve accurate motion correction without local distortion.
  • To reduce the computational burden of image registration in fMRI.

Main Methods:

  • Registration performed in the Fourier domain using translation and rotation.
  • Approximation of rotations via local translations (shearing) to maintain Cartesian grid.

Related Experiment Videos

  • Mean Squared Error (MSE) criterion for determining registration parameters.

    • Main Results:

    • Demonstrated accuracy ranging from 0.02 to 0.3 pixels for simulated images with varying Signal-to-Noise Ratios (SNRs).
    • Successfully validated on real subjects using both echo-planar imaging (EPI) and spiral data acquisition.
    • Effective in improving activation detection in fMRI studies with subject head movement.

    Conclusions:

    • The proposed Fourier domain registration technique offers accurate and efficient motion correction for fMRI.
    • The shearing approximation effectively handles grid transformations, reducing computational cost.
    • This method enhances the reliability and interpretability of fMRI activation studies.