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SMASH navigators.

M Bydder1, D Atkinson, D J Larkman

  • 1Robert Steiner MRI Unit, Imaging Sciences Department, Clinical Sciences Centre, Imperial College, Hammersmith Hospital, London, UK.

Magnetic Resonance in Medicine
|February 21, 2003
PubMed
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This study introduces a new method using simultaneous acquisition of spatial harmonics (SMASH) to detect and correct motion artifacts in MRI scans. The technique effectively identifies and fixes image distortions caused by 2D translations, improving scan quality.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Image Processing

Background:

  • Multiple receiver coils in MRI enhance signal-to-noise ratio (SNR) or reduce scan times.
  • Additional data from receiver coils can be utilized for correcting image artifacts.
  • Motion artifacts are a common challenge in MRI, degrading image quality.

Purpose of the Study:

  • To present a novel correction scheme for detecting and correcting motion artifacts in MRI.
  • To address motion artifacts caused by 2D translations using simultaneous acquisition of spatial harmonics (SMASH).

Main Methods:

  • A correction scheme based on simultaneous acquisition of spatial harmonics (SMASH) was developed.
  • Newly acquired data was compared with predictions from previously acquired data using spatial harmonics.

Related Experiment Videos

  • Correction parameters were determined by analyzing differences attributed to motion between phase encode lines.

    • Main Results:

    • The SMASH-based method successfully detected and corrected motion artifacts caused by 2D translations.
    • The technique was validated through simulations, phantom experiments, and volunteer studies.
    • Distinctions in phase errors due to different rigid body motion types (object/coil array vs. object only) were considered.

    Conclusions:

    • The presented SMASH-based correction scheme is effective for identifying and rectifying motion artifacts in MRI.
    • This technique offers a viable solution for improving image quality in the presence of translational motion.
    • The study demonstrates the robustness of the method across various experimental conditions.