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Consistent projection reconstruction (CPR) techniques for MRI

G H Glover1, D C Noll

  • 1Department of Diagnostic Radiology, Stanford University School of Medicine, CA 94305-5488.

Magnetic Resonance in Medicine
|March 1, 1993
PubMed
Summary
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This study introduces a consistent projection reconstruction (CPR) algorithm to reduce motion artifacts in MRI scans. CPR extracts static object data by limiting spectral variations, effectively reducing streaks and ghosts in projection reconstruction and 2D Fast Fourier Transform imaging.

Area of Science:

  • Medical Imaging
  • Image Reconstruction
  • Magnetic Resonance Imaging (MRI)

Background:

  • Subject motion during MRI scans introduces data inconsistencies, leading to artifacts like streaks in projection reconstruction (PR) and ghosts in 2D Fast Fourier Transform (2DFT) imaging.
  • These artifacts degrade image quality and complicate diagnostic interpretation.

Purpose of the Study:

  • To develop and validate a novel algorithm, consistent projection reconstruction (CPR), for mitigating motion-induced artifacts in MRI data.
  • To improve the fidelity of reconstructed MR images by addressing k-space inconsistencies caused by subject motion or flow.

Main Methods:

  • Developed consistency criteria based on moment or Fourier expansions of projection data to extract a static object manifold.
  • Applied criteria to limit azimuthal variation relative to radial moments or spectral components, discarding unallowed expansion terms.

Related Experiment Videos

  • Implemented the CPR algorithm for reconstructing data from a moving phantom and human abdominal sections, and for 2DFT data via resampling.

    • Main Results:

    • The CPR algorithm successfully reduced motion streaks in projection reconstruction scans of a moving phantom and human abdominal data compared to conventional methods.
    • CPR demonstrated effectiveness in diminishing k-space inconsistencies arising from motion or flow.
    • CPR showed utility with 2DFT data by resampling Cartesian data into radial projections, though to a lesser extent than PR.

    Conclusions:

    • Consistent projection reconstruction (CPR) is an effective method for reducing motion artifacts in MRI.
    • The CPR algorithm offers improved image quality in projection reconstruction applications and shows potential for 2DFT imaging.
    • This technique enhances the reliability of MR imaging in the presence of subject motion.