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Related Experiment Videos

Image reconstruction for echo planar imaging with nonequidistant k-space sampling.

H Bruder1, H Fischer, H E Reinfelder

  • 1Siemens Medical Division, Erlangen, West Germany.

Magnetic Resonance in Medicine
|February 1, 1992
PubMed
Summary
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Echo planar imaging (EPI) uses a single excitation for k-space scanning. This study presents methods to convert non-equidistant EPI data to a Cartesian grid for improved image reconstruction and artifact reduction.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Image Reconstruction
  • Signal Processing

Background:

  • Echo planar imaging (EPI) is an MRI technique that rapidly acquires k-space data after a single excitation.
  • Conventional EPI data sampling is often non-equidistant, posing challenges for standard image reconstruction algorithms.
  • Ghosting artifacts are a common issue in EPI, necessitating effective mitigation strategies.

Purpose of the Study:

  • To present a technically feasible method for acquiring EPI data using a sinusoidal readout gradient.
  • To describe techniques for converting non-equidistant k-space data to a Cartesian grid for 2D-FFT reconstruction.
  • To detail filtering methods for minimizing ghosting artifacts in EPI.

Main Methods:

  • Utilized a sinusoidal readout gradient for k-space sampling in EPI.

Related Experiment Videos

  • Employed data conversion to a Cartesian grid via interpolation and generalized transformations.
  • Applied filtering techniques to reduce EPI-specific ghosting artifacts.
  • Main Results:

    • Demonstrated successful conversion of non-equidistant EPI data to a Cartesian grid.
    • Presented results from computer simulations validating the proposed methods.
    • Showcased experimental EPI images acquired on a 2-T whole-body MRI system, illustrating artifact reduction.

    Conclusions:

    • The proposed methods enable conventional 2D-FFT reconstruction of EPI data acquired with sinusoidal gradients.
    • Effective artifact reduction, particularly ghosting, was achieved through filtering techniques.
    • The study validates the practical application of these techniques in experimental MRI settings.