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Off-centered spiral trajectories.

C M Tsai1, L C Man, D G Nishimura

  • 1Department of Electrical Engineering, Stanford University, California, USA. cmtsai@lad.stanford.edu

Magnetic Resonance in Medicine
|March 22, 2000
PubMed
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New spiral MRI trajectories reduce image artifacts caused by timing errors. Off-centered spiral methods improve quantitative imaging, like phase-contrast flow, by minimizing shading artifacts without impacting image magnitude.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Imaging Physics

Background:

  • Image quality in spiral MRI relies on precise k-space sampling.
  • Timing misregistration between data acquisition and gradient systems can distort sampling positions, leading to artifacts.
  • Residual timing errors cause shading artifacts, hindering quantitative MRI applications such as phase-contrast flow quantitation.

Purpose of the Study:

  • To propose and apply novel off-centered spiral trajectories for improved robustness against timing errors in MRI.
  • To mitigate shading artifacts in quantitative MRI, particularly for phase-contrast flow measurements.

Main Methods:

  • Development and implementation of off-centered spiral trajectories.
  • Application of these trajectories to phase-contrast imaging.

Related Experiment Videos

  • Analysis of reconstructed images for artifact reduction and impact on image magnitude.
  • Main Results:

    • Off-centered spiral trajectories effectively transform shading artifacts into a slowly varying linear phase.
    • The magnitude of reconstructed images remains unaffected by the new trajectories.
    • Improved robustness against timing misregistration errors in k-space sampling.

    Conclusions:

    • Off-centered spiral trajectories offer a practical solution to timing-related artifacts in spiral MRI.
    • This method enhances the reliability of quantitative MRI techniques by preserving image magnitude and reducing problematic shading.
    • The proposed trajectories are particularly beneficial for phase-contrast flow quantitation where accuracy is critical.