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Peripheral MR angiography with variable velocity encoding. Work in progress.

J S Swan1, D M Weber, T M Grist

  • 1Department of Radiology, University of Wisconsin, Madison 53792.

Radiology
|September 1, 1992
PubMed
Summary
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This study introduces a new magnetic resonance angiography technique that adjusts velocity encoding (VENC) during imaging. This method significantly improves signal quality in peripheral blood vessels, especially smaller ones.

Area of Science:

  • Medical Imaging
  • Cardiovascular Magnetic Resonance

Background:

  • Pulsatile blood flow in peripheral vasculature can degrade image quality in phase-contrast (PC) magnetic resonance angiography.
  • Optimizing signal capture in small and large vessels is crucial for accurate vascular assessment.

Purpose of the Study:

  • To develop and evaluate an electrocardiographically triggered 2D PC MRA pulse sequence with velocity encoding (VENC) varied during the cardiac cycle.
  • To enhance signal capture in peripheral vasculature, particularly in the presence of pulsatile flow.

Main Methods:

  • A novel PC MRA pulse sequence was designed, incorporating dynamic VENC adjustments based on cardiac cycle blood velocity.
  • A matched filter addition technique was applied post-reconstruction to create a single high-quality static image.

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  • The technique was tested on six healthy volunteers, comparing acquisitions with and without varying VENC.

    • Main Results:

    • Varying VENC significantly improved vascular signal in both small and large peripheral vessels (P < .02).
    • The most substantial improvement was observed in small vessels, with contrast-to-noise ratio (C/N) increases up to 260% (average 149%).
    • The technique yielded high-quality static images after reconstruction.

    Conclusions:

    • Variable VENC is a valuable technique for enhancing signal in cardiac-gated PC acquisitions of peripheral blood vessels.
    • This method shows particular promise for improving visualization of small, distal vasculature.
    • The findings suggest potential for improved diagnostic accuracy in cardiovascular MRA.