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Partial field-of-view spiral phase-contrast imaging using complex difference processing.

Reza Nezafat1, Richard B Thompson, J Andrew Derbyshire

  • 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA. nezafatr@nih.gov

Magnetic Resonance in Medicine
|June 29, 2006
PubMed
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This study introduces a partial field of view (pFOV) spiral technique for rapid flow imaging. This method accurately measures blood flow by reducing acquisition time and eliminating artifacts, showing good agreement with existing methods.

Area of Science:

  • Medical Imaging
  • Biophysics
  • Fluid Dynamics

Background:

  • Accurate measurement of blood flow is crucial in various medical applications.
  • Existing flow imaging techniques can be limited by acquisition time and artifacts.
  • Partial field of view (pFOV) imaging offers potential for faster scans.

Purpose of the Study:

  • To develop and validate a novel partial field of view (pFOV) spiral motion-encoded technique for rapid flow imaging.
  • To assess the accuracy of flow measurements obtained with the pFOV spiral technique.
  • To evaluate the method's ability to mitigate artifacts in flow imaging.

Main Methods:

  • Implemented a pFOV spiral k-space trajectory to undersample data, reducing field of view (FOV) and acquisition time by a factor of two.

Related Experiment Videos

  • Utilized complex subtraction of differentially flow-encoded images to remove spurious phase sources and aliasing artifacts.
  • Validated the technique using experiments in a flow phantom and human volunteers.

    • Main Results:

    • The pFOV spiral technique successfully reduced acquisition time and FOV by 50%.
    • Complex subtraction effectively eliminated artifacts from static tissue and spurious phase sources.
    • Flow estimates from the pFOV spiral method demonstrated good agreement with complex difference processing.

    Conclusions:

    • The pFOV spiral motion-encoded technique provides a viable method for rapid and accurate flow imaging.
    • This technique offers a significant reduction in scan time without compromising flow measurement accuracy.
    • The method shows promise for clinical applications requiring fast, artifact-free flow quantification.