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Rotating frame RF current density imaging

G C Scott1, M L Joy, R L Armstrong

  • 1Department of Electrical Engineering, Stanford University, California, USA.

Magnetic Resonance in Medicine
|March 1, 1995
PubMed
Summary
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This study introduces a novel MRI technique, rotating frame RF-CDI, to image current density in biological tissues. The enhanced method improves sensitivity and reduces data needs for conductivity imaging.

Area of Science:

  • Magnetic Resonance Imaging
  • Biophysics
  • Electrical Engineering

Background:

  • Radio Frequency Current Density Imaging (RF-CDI) is an emerging MRI technique.
  • Current applications are limited to electrolytic media due to sensitivity and data requirements.
  • Imaging current density in biological tissues is crucial for conductivity contrast.

Purpose of the Study:

  • To enhance RF-CDI sensitivity and reduce data requirements for biological tissue imaging.
  • To adapt RF-CDI for generating conductivity contrast in biological tissues.
  • To investigate a novel rotating frame approach for RF-CDI.

Main Methods:

  • A rotating frame approach was developed, applying a large B1 field with a rotary echo and RF current.
  • The technique encodes rotating frame magnetic fields within the phase of MRI images.

Related Experiment Videos

  • Phantom studies (doped water, mineral oil) and a postmortem rat study were conducted.

    • Main Results:

    • The rotating frame approach demonstrated successful detection of displacement, conduction, and fringe field currents in phantoms.
    • RF currents generated tissue-dependent contrast in rat tissues, correlating with electrical properties.
    • Sensitivity is dictated by RF pulse duration, with SAR limits and artifact avoidance defining operational bounds for B1 and pulse duration.

    Conclusions:

    • The proposed rotating frame RF-CDI technique significantly enhances sensitivity and reduces data requirements for imaging current density.
    • This advancement enables the application of RF-CDI to biological tissues for conductivity contrast imaging.
    • The method shows promise for non-invasive characterization of tissue electrical properties.