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Related Experiment Videos

Noise reduction in MR echo planar image reconstruction.

H Yan1, J Mao

  • 1Sch. of Electr. Eng., Sydney Univ., NSW.

IEEE Transactions on Medical Imaging
|January 1, 1991
PubMed
Summary
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Deconvolving echo planar imaging (EPI) to remove ghost artifacts significantly amplifies noise. A novel window function precisely cancels this noise amplification, improving the signal-to-noise ratio by 50%.

Area of Science:

  • Medical Imaging
  • Signal Processing

Background:

  • Echo planar imaging (EPI) is susceptible to ghost artifacts.
  • Deconvolution to remove these artifacts can lead to significant noise amplification due to division by small numbers.

Purpose of the Study:

  • To develop a method to mitigate noise amplification during EPI deconvolution.
  • To improve the signal-to-noise ratio (SNR) in processed EPI data.

Main Methods:

  • A novel window function was designed to provide inverse scaling of data, canceling noise amplification.
  • The window function's frequency response was compared to the Hamming window.
  • The algorithm was tested using computer simulations.

Main Results:

  • The proposed window function effectively cancels noise scaling factors.

Related Experiment Videos

  • Signal energy in the low-frequency range is preserved.
  • The method demonstrated a 50% increase in SNR in simulated EPI images.

    • Conclusions:

    • The developed window function successfully reduces noise amplification in deconvolved EPI.
    • This technique offers a significant improvement in image quality for EPI by enhancing SNR.