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K-space trajectory mapping and its application for ultrashort Echo time imaging.

Peter Latta1, Zenon Starčuk2, Marco L H Gruwel3

  • 1Central European Institute of Technology, Masaryk University, Brno, Czech Republic.

Magnetic Resonance Imaging
|October 16, 2016
PubMed
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A new magnetic resonance (MR) method accurately calibrates gradient waveforms, correcting deviations in k-space trajectories. This improves image quality, especially for non-Cartesian acquisitions like ultrashort echo time (UTE) imaging.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Physics
  • Biomedical Engineering

Background:

  • MR image quality is compromised by system delays and gradient imperfections, causing deviations between planned and actual k-space trajectories.
  • These trajectory deviations critically degrade non-Cartesian MRI data, leading to artifacts and reduced image fidelity.
  • Accurate knowledge of k-space trajectories is essential for reconstructing high-quality non-Cartesian MR images.

Purpose of the Study:

  • To develop and validate a novel method for calibrating actual gradient waveforms in MRI.
  • To improve the accuracy of k-space trajectory estimation for non-Cartesian imaging sequences.
  • To enhance the quality of reconstructed MR images by incorporating corrected trajectory information.

Main Methods:

Keywords:
Gradient imperfectionsK-space deviationTrajectory estimationUltrashort echo time (UTE)

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  • A new MR method was developed using phase encoding increments and detecting k-space origin crossings.
  • Measured trajectory points were fitted to a parametric model to determine the complete actual acquisition trajectory.
  • The method was tested on phantoms and volunteers, both on- and off-isocenter.

Main Results:

  • The developed method successfully calibrated actual gradient waveforms and k-space trajectories.
  • Incorporating the calibrated trajectory information significantly improved the quality of reconstructed ultrashort echo time (UTE) images.
  • The method demonstrated robustness and a simple experimental setup suitable for rapid calibration.

Conclusions:

  • Accurate calibration of k-space trajectories is crucial for high-fidelity non-Cartesian MR image reconstruction.
  • The proposed method provides a robust and simple approach for trajectory calibration, enhancing UTE imaging.
  • This technique is valuable for improving MR imaging techniques, particularly in fast, non-Cartesian radial imaging.