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Related Experiment Videos

CSF flow artifact reduction using cardiac cycle ordered phase-encoding method.

M H Cho1, W S Kim, Z H Cho

  • 1Department of Electrical Science, Korea Advanced Institute of Science, Seoul.

Magnetic Resonance Imaging
|January 1, 1990
PubMed
Summary
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A new cardiac cycle ordered phase encoding method reduces cerebrospinal fluid (CSF) flow artifacts in NMR imaging. This technique synchronizes phase encoding with the cardiac cycle, improving image quality by minimizing pulsatile flow fluctuations.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Biomedical Engineering
  • Medical Physics

Background:

  • Pulsatile flow of blood and cerebrospinal fluid (CSF) causes velocity fluctuations during NMR imaging.
  • These fluctuations induce irregular flow-dependent phase shifts, leading to significant artifacts in NMR images.
  • CSF flow artifacts, in particular, can degrade image quality and diagnostic accuracy.

Purpose of the Study:

  • To propose and evaluate a novel cardiac cycle ordered phase encoding method.
  • To reduce flow artifacts, specifically targeting cerebrospinal fluid (CSF) flow artifacts in NMR imaging.
  • To enhance the quality and reliability of NMR images affected by pulsatile fluid motion.

Main Methods:

  • Development of a cardiac cycle ordered phase encoding technique.

Related Experiment Videos

  • Synchronization of phase encoding gradients with the cardiac cycle, analogous to respiratory ordered phase encoding (ROPE).
  • Experimental validation using a 2.0 T whole-body NMR imaging system (KAIS 2.0) with human volunteers.

    • Main Results:

    • The proposed method effectively reduces flow artifacts, particularly those caused by CSF motion.
    • Demonstrated improvement in signal intensity and phase stability in NMR images.
    • Experimental results with human volunteers confirmed the efficacy of the technique.

    Conclusions:

    • Cardiac cycle ordered phase encoding is a viable strategy for mitigating pulsatile flow artifacts in NMR imaging.
    • This technique offers a promising approach to improve image quality in applications sensitive to CSF and blood flow.
    • The method provides a valuable tool for reducing motion-related artifacts in clinical and research MRI settings.