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Advances in sensitivity encoding with arbitrary k-space trajectories.

K P Pruessmann1, M Weiger, P Börnert

  • 1Institute of Biomedical Engineering, University of Zürich and Swiss Federal Institute of Technology, Switzerland.

Magnetic Resonance in Medicine
|October 9, 2001
PubMed
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New methods make Sensitivity Encoding (SENSE) practical for non-Cartesian k-space trajectories. This significantly reduces MRI scan times, enabling faster imaging for applications like brain and cardiac scans.

Area of Science:

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

Background:

  • Sensitivity Encoding (SENSE) is a technique to accelerate MRI acquisition.
  • Conventional SENSE is typically limited to Cartesian k-space trajectories.
  • Non-Cartesian trajectories offer potential for faster data acquisition but pose reconstruction challenges.

Purpose of the Study:

  • To develop efficient reconstruction procedures for SENSE with arbitrary k-space trajectories.
  • To enable practical application of SENSE with non-Cartesian trajectories.
  • To demonstrate significant scan time reduction in MRI.

Main Methods:

  • Proposed novel reconstruction methods combining gridding principles with conjugate-gradient iteration.
  • Utilized Fast Fourier Transform (FFT) for efficient data processing.

Related Experiment Videos

  • Investigated convergence behavior and dependence on gradient encoding reduction through simulations.

    • Main Results:

    • Achieved reconstruction complexity comparable to conventional gridding.
    • Demonstrated feasibility of non-Cartesian SENSE with iterative reconstruction in vivo.
    • Showcased significant scan time reduction in brain and cardiac imaging using spiral trajectories (e.g., doubling frame rate in cardiac imaging).

    Conclusions:

    • The proposed methods make SENSE practical for non-Cartesian k-space trajectories.
    • This advancement allows for considerable MRI scan time reduction.
    • Iterative reconstruction of non-Cartesian SENSE imaging is feasible and beneficial for accelerated MRI acquisition.