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Broadband multicoil imaging using multiple demodulation hardware: a feasibility study.

Jin Hyung Lee1, Greig C Scott, John M Pauly

  • 1Magnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, California 94305-9510, USA. ljinhy@mrsrl.stanford.edu

Magnetic Resonance in Medicine
|August 9, 2005
PubMed
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Partially parallel imaging with localized sensitivities (PILS) accelerates MRI scans by using multiple receiver coils. This method offers simplicity, good signal-to-noise ratio, and can be enhanced for parallel broadband imaging.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Medical Imaging Technology
  • Signal Processing

Background:

  • Multiple receiver coils are crucial for reducing MRI scan times.
  • Parallel imaging techniques leverage multiple coils to accelerate data acquisition.
  • Partially parallel imaging with localized sensitivities (PILS) is one such technique.

Purpose of the Study:

  • To introduce an enhancement to the PILS method for truly parallel broadband imaging.
  • To demonstrate the feasibility of customized demodulation for improved k-space sampling.
  • To optimize MRI scan times through advanced coil sensitivity utilization.

Main Methods:

  • Utilized localized coil sensitivities for k-space sampling rate customization.
  • Implemented simulated demodulation for 2D Fourier Transform (FT) and spiral trajectories.

Related Experiment Videos

  • Proposed integration with multiple-demodulation hardware for parallel broadband acquisition.

    • Main Results:

    • PILS offers advantages in simplicity, signal-to-noise ratio (SNR), and compatibility with arbitrary k-space trajectories.
    • Customized demodulation allows k-space sampling tailored to individual coil sensitivity regions.
    • Simulations confirmed the feasibility of the proposed parallel broadband imaging approach.

    Conclusions:

    • The enhanced PILS method with customized demodulation enables efficient parallel broadband MRI.
    • This technique offers a promising avenue for further reducing MRI scan times.
    • The approach is compatible with various k-space trajectories and hardware configurations.