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Configuration-based electrical properties tomography.

Santhosh Iyyakkunnel1,2, Jessica Schäper1,2, Oliver Bieri1,2

  • 1Division of Radiological Physics, Department of Radiology, University Hospital Basel, Basel, Switzerland.

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|October 27, 2020
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Summary
This summary is machine-generated.

This study introduces phase-based conductivity mapping using Fourier analysis of balanced SSFP (bSSFP) scans. This method accurately estimates conductivity and field inhomogeneities, offering a new tool for quantitative MRI.

Keywords:
Fourier transformconductivityconfiguration spaceelectric propertiesphase-cycled bSSFPtransceive phase

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Quantitative MRI techniques
  • Biophysical parameter mapping

Background:

  • Balanced steady-state free precession (bSSFP) sequences are widely used in MRI.
  • Accurate conductivity mapping is crucial for various MRI applications.
  • Existing conductivity mapping methods can be complex and time-consuming.

Purpose of the Study:

  • To introduce a novel phase-based conductivity mapping method.
  • To utilize configuration space analysis of bSSFP data.
  • To enable direct conductivity estimation from phase information.

Main Methods:

  • Employed frequency response function of bSSFP for configuration space analysis.
  • Utilized fast Fourier transform (FFT) on phase-cycled bSSFP scans to obtain transceive phase.
  • Validated the method against PLANET for transceive phase and off-resonance mapping.
  • Performed experiments in phantoms and in vivo human brain at 3T.

Main Results:

  • FFT-based transceive phase estimation showed lower uncertainty compared to PLANET.
  • Phase errors from FFT aliasing decreased with increased sampling points.
  • Successfully performed conductivity mapping in phantoms and brain tissues using eight phase-cycled bSSFP scans.
  • Retrieved conductivity values were in good agreement with expectations.

Conclusions:

  • Phase-based conductivity mapping is feasible using simple Fourier analysis of bSSFP data.
  • The method can be integrated with relaxometry for simultaneous quantitative parameter estimation.
  • This technique provides an efficient approach for mapping conductivity and field inhomogeneities.