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Related Experiment Videos

SENSE: sensitivity encoding for fast MRI.

K P Pruessmann1, M Weiger, M B Scheidegger

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

Magnetic Resonance in Medicine
|November 5, 1999
PubMed
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New magnetic resonance imaging (MRI) methods using multiple receiver coils significantly reduce scan times. Sensitivity encoding (SENSE) enables faster imaging by exploiting coil sensitivities, achieving substantial time savings in brain and heart scans.

Area of Science:

  • Medical Imaging
  • Biophysics
  • Signal Processing

Background:

  • Magnetic Resonance Imaging (MRI) performance is often limited by scan duration.
  • Conventional MRI relies on Fourier transforms and linear field gradients for image acquisition.
  • Multiple receiver coils offer potential for accelerating MRI acquisition.

Purpose of the Study:

  • To present novel theoretical and practical concepts for enhancing MRI performance using multiple receiver coils.
  • To introduce and solve the problem of image reconstruction from sensitivity-encoded data.
  • To demonstrate significant reductions in MRI scan time.

Main Methods:

  • Development of Sensitivity Encoding (SENSE) principles, leveraging complementary encoding effects of receiver coil sensitivities.

Related Experiment Videos

  • General formulation and solution for image reconstruction from SENSE data, applicable to arbitrary coil configurations and k-space sampling.
  • Focus on practical Cartesian grid sampling with reduced density.

    • Main Results:

    • Demonstrated feasibility of SENSE methods both in vitro and in vivo.
    • Achieved a 50% reduction in scan time for brain imaging using a two-coil array.
    • Obtained cardiac images in one-third of conventional scan time with a five-coil array.

    Conclusions:

    • Multiple receiver coil arrays, combined with SENSE, offer a powerful approach to accelerate MRI acquisition.
    • SENSE provides a viable method for reducing scan times without compromising image quality.
    • The proposed techniques have practical implications for improving patient comfort and throughput in MRI examinations.