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Inflow effect in first-pass cardiac and renal MRI

Marko K Ivancevic1, Ivan Zimine, David Foxall

  • 1Radiology Department, Geneva University Hospital, Geneva, Switzerland. ivancevic@dim.hcuge.ch

Journal of Magnetic Resonance Imaging : JMRI
|August 26, 2003
PubMed
Abstract

Insights

The inflow effect is negligible in cardiac MRI but significant for renal perfusion measurements. This difference is due to varying blood flow velocities in the aorta versus the heart.

Area of Science:

  • Medical Imaging
  • Cardiovascular Imaging
  • Renal Imaging

Background:

  • The arterial input function (AIF) is crucial for quantitative MR perfusion imaging.
  • The inflow effect, related to blood flow velocity, can potentially impact AIF accuracy.
  • Understanding this effect is vital for reliable perfusion quantification in different organs.

Purpose of the Study:

  • To quantify the in vivo inflow effect on the arterial input function.
  • To assess the impact of inflow effect in cardiac and renal MR perfusion imaging.
  • To evaluate the influence of fast gradient echo (GRE) sequences and contrast media on the inflow effect.

Main Methods:

  • Utilized fast gradient echo (GRE) sequences for MR perfusion imaging.
  • Acquired images at various phases of the cardiac cycle to capture different blood flow velocities.
  • Analyzed the arterial input function in both cardiac (left ventricle) and renal (aorta) contexts.

Main Results:

  • The inflow effect was found to be negligible within the left ventricle of the heart.
  • A significantly higher inflow effect was observed in the aorta during renal perfusion measurements.
  • This discrepancy is attributed to the greater through-the-plane blood flow velocity component in the aorta compared to the left ventricle.

Conclusions:

  • The inflow effect can be safely neglected in cardiac cavity imaging.
  • The inflow effect must be considered for accurate renal perfusion quantification.
  • This finding has implications for optimizing MR perfusion protocols for different organs.

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