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Related Experiment Videos

Efficient foldover suppression using SENSE.

R Winkelmann1, P Börnert, K Nehrke

  • 1Institute of Biomedical Engineering, University of Karlsruhe, 76128 Karlsruhe, Germany. Richard.Winkelmann@ibt.uni-karlsruhe.de

Magma (New York, N.Y.)
|December 16, 2004
PubMed
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This study introduces a novel application of the SENSE algorithm for Magnetic Resonance Imaging (MRI) to eliminate foldover artifacts. The method optimizes signal-to-noise ratio (SNR) and reliably unfolds images for a larger field of view.

Area of Science:

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

Background:

  • Parallel imaging techniques are established MRI procedures for reconstructing images from reduced datasets.
  • The SENSE algorithm is a known reconstruction method in MRI.

Purpose of the Study:

  • To present a novel application of the SENSE algorithm to remove foldover artifacts in conventional MRI images acquired with multiple receive coils.
  • To optimize signal-to-noise ratio (SNR) and reliably unfold images to a larger field of view.

Main Methods:

  • Calculated a body coverage map using coil sensitivity information.
  • Employed SENSE-type reconstruction using coil sensitivity and measured raw data.
  • Performed automatic reconstruction without user interaction, not affecting data acquisition.

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Main Results:

  • Successfully removed foldover artifacts in phantom and in vivo studies.
  • Maintained high image quality after artifact removal.
  • Demonstrated optimization of signal-to-noise ratio (SNR).

Conclusions:

  • The SENSE algorithm offers a reliable method for foldover removal and image unfolding in MRI.
  • The approach maintains high image quality and optimizes SNR.
  • The method's potential is discussed considering future MRI hardware with more receiver channels.