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Image-based EPI ghost correction using an algorithm based on projection onto convex sets (POCS).

K J Lee1, D C Barber, M N Paley

  • 1Department of Academic Radiology, Royal Hallamshire Hospital, University of Sheffield, Sheffield, UK. k.j.lee@sheffield.ac.uk

Magnetic Resonance in Medicine
|April 12, 2002
PubMed
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This study introduces a Projection Onto Convex Sets (POCS) algorithm to reduce N/2 ghosting in echo-planar imaging (EPI). The method effectively minimizes ghost artifacts, achieving results comparable to reference scans.

Area of Science:

  • Medical Imaging
  • Image Processing
  • Magnetic Resonance Imaging

Background:

  • Echo-planar imaging (EPI) is susceptible to N/2 ghost artifacts.
  • These artifacts degrade image quality and complicate interpretation.
  • Existing methods for ghost reduction may have limitations.

Purpose of the Study:

  • To develop and evaluate a novel method for N/2 ghost reduction in EPI.
  • To utilize the Projection Onto Convex Sets (POCS) algorithm for artifact minimization.
  • To demonstrate the effectiveness and robustness of the proposed technique.

Main Methods:

  • A POCS-based algorithm was developed for N/2 ghost reduction in EPI.
  • Ghosts outside the parent image were zeroed, and a model k-space was generated via Fourier Transform.

Related Experiment Videos

  • Zeroth- and first-order phase corrections were estimated and applied to the original k-space data.
  • Registration was used to overcome phase wrapping issues in first-order phase correction.

    • Main Results:

    • The POCS method significantly reduced N/2 ghost artifacts in spin-echo EPI data.
    • Iterative application of the method led to convergence towards a minimized ghost image.
    • The ghost reduction levels were comparable to those achieved with reference scans.
    • The method demonstrated robustness and high effectiveness.

    Conclusions:

    • The POCS-based algorithm is a robust and effective solution for N/2 ghost reduction in EPI.
    • This technique offers a significant improvement in image quality for EPI.
    • The method shows potential for widespread application in MRI.