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Phase Contrast Magnetic Resonance Imaging in the Rat Common Carotid Artery
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Phase contrast MRI with minimized background phase errors.

Michael Loecher1,2, Daniel B Ennis1,2

  • 1Department of Radiology, Stanford University, Stanford, California, USA.

Magnetic Resonance in Medicine
|October 15, 2024
PubMed
Summary
This summary is machine-generated.

Phase contrast MRI (PC-MRI) velocity measurements are improved by minimizing background phase errors using optimized gradient waveforms. This technique enhances accuracy for clinical applications.

Keywords:
background phasegradient impulse responsegradient optimizationphase contrast

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Magnetic Resonance Imaging

Background:

  • Phase contrast MRI (PC-MRI) measures bodily velocities.
  • Magnetic field imperfections cause background phase errors, limiting PC-MRI accuracy.
  • Accurate velocity measurements are crucial for clinical utility.

Purpose of the Study:

  • Minimize systematic background phase errors in PC-MRI.
  • Maximize the accuracy of velocity measurements in PC-MRI.

Main Methods:

  • Modeled MRI scanner background phase errors using the gradient impulse response function (GIRF).
  • Optimized gradient waveforms numerically using the GIRF to minimize background phase errors.
  • Tested optimized pulse sequences in phantoms and human subjects, comparing results to conventional PC-MRI.

Main Results:

  • Optimized waveforms reduced background phase by 78.8%.
  • Predicted background phase closely matched measured phase in a static phantom (0.6 mm/s difference).
  • Achieved excellent agreement for in vivo blood flow values (agreement = 0.96).

Conclusions:

  • GIRF modeling and optimized gradients effectively minimize PC-MRI background phase errors.
  • This method enhances PC-MRI accuracy efficiently.
  • The methodology is adaptable to other MRI sequences affected by magnetic field errors.