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Related Experiment Videos

Bunched phase encoding (BPE): a new fast data acquisition method in MRI.

Hisamoto Moriguchi1, Jeffrey L Duerk

  • 1Department of Radiology, University Hospitals of Cleveland and Case Western Reserve University, Cleveland, OH 44106, USA.

Magnetic Resonance in Medicine
|February 14, 2006
PubMed
Summary
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A novel Bunched Phase Encoding (BPE) method accelerates MRI scans by reducing data acquisition lines. This technique reconstructs artifact-free images, potentially enabling faster MRI acquisition.

Area of Science:

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

Background:

  • Conventional MRI acquisition uses rectilinear k-space sampling.
  • Increasing phase encoding step size can cause aliasing artifacts.
  • Papoulis's generalized sampling theory offers a framework for artifact-free reconstruction.

Purpose of the Study:

  • Introduce and evaluate a new fast MRI data acquisition method: Bunched Phase Encoding (BPE).
  • Exploit Papoulis's theory to reduce acquired phase encoding lines and scan time.
  • Investigate the impact of BPE on image signal-to-noise ratio (SNR).

Main Methods:

  • Implemented BPE using a "zigzag" k-space trajectory during readout.
  • Acquired k-space data at a higher sampling frequency than standard rectilinear methods.

Related Experiment Videos

  • Reconstructed images by exploiting generalized sampling theory to address undersampling.

    • Main Results:

    • BPE successfully reduced the number of acquired phase encoding lines, shortening scan times.
    • Reconstructed images were largely free from aliasing artifacts, consistent with Papoulis's theory.
    • Signal-to-noise ratio (SNR) varied across reconstructed images, dependent on the reconstruction algorithm.

    Conclusions:

    • BPE is a promising fast data acquisition technique for MRI.
    • The method offers a gradient-based alternative comparable to parallel imaging.
    • BPE may pave the way for novel, accelerated MRI acquisition strategies.