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Image-based method for automated phase correction of ghost.

Chunxiao Chen1, Limin Luo, Hua Tao

  • 1Department of Biomedical Engineering, Southeast University, Nanjing, China; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
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Ghost artifacts in echo planar imaging are reduced using a novel automated method. This technique corrects images without a reference scan, improving image quality and diagnostic accuracy.

Area of Science:

  • Medical Imaging
  • Image Processing
  • Magnetic Resonance Imaging

Background:

  • Ghost artifacts are a common issue in echo planar imaging (EPI).
  • Traditional methods to reduce ghosting rely on a preceding reference scan.
  • This limits scan efficiency and flexibility.

Purpose of the Study:

  • To introduce an automated, free-scan-reference method for ghost artifact reduction in EPI.
  • To improve image quality using image-based correction techniques.

Main Methods:

  • Utilized a 2D Fourier transformation on the image data matrix.
  • Reconstructed two images using even and odd rows separately, with zero-filling for the remaining rows.
  • Computed phase shift between even and odd echoes and applied unwrapped phase shift via Marquardt-Levenberg nonlinear fitting for ghost suppression.

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Main Results:

  • Successfully computed phase shifts between even and odd echoes.
  • Demonstrated effective ghost artifact suppression using the developed image-based correction method.
  • The automated approach eliminates the need for a separate reference scan.

Conclusions:

  • The proposed automated free-scan-reference method effectively reduces ghost artifacts in echo planar imaging.
  • This technique offers a more efficient and flexible approach to improving EPI image quality.
  • Image-based correction provides a viable alternative to traditional reference scan methods.