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Updated: Jan 23, 2026

Author Spotlight: Porphyrin-Modified Beads for Use as Compensation Controls in Flow Cytometry
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Increased precision in the intravascular arterial input function with flow compensation.

Benoît Bourassa-Moreau1, Réjean Lebel1, Guillaume Gilbert2

  • 1Centre d'imagerie moléculaire de Sherbrooke, Département de médecine nucléaire et radiobiologie, Université de Sherbrooke, 3001 12e Avenue Nord, Sherbrooke, Québec, Canada.

Magnetic Resonance in Medicine
|June 23, 2019
PubMed
Summary
This summary is machine-generated.

Flow compensation significantly reduces physiological noise in dynamic susceptibility-contrast MRI arterial input function measurements. This improves signal-to-noise ratio in brain arteries, leading to more accurate quantitative arterial input functions.

Keywords:
arterial input functionblood flowbrain perfusiondynamic susceptibility contrast MRIflow compensation

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Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Biophysics

Background:

  • Dynamic susceptibility-contrast MRI is crucial for measuring blood flow in the brain.
  • Pulsatile flow and inflow introduce physiological noise, affecting the accuracy of arterial input function (AIF) measurements.
  • Standard MRI sequences can be susceptible to signal variations caused by these physiological factors.

Purpose of the Study:

  • To investigate the impact of pulsatile flow and inflow on intravascular AIF measurements in human brain arteries.
  • To evaluate the effectiveness of first-order flow compensation in mitigating these flow-related artifacts.
  • To assess the improvement in signal-to-noise ratio (SNR) and data quality with flow compensation.

Main Methods:

  • Utilized a dual-echo single-shot EPI sequence with alternating flow compensation gradients.
  • Acquired dynamic susceptibility-contrast MRI images synchronized with electrocardiogram monitoring.
  • Correlated intravascular signal variations with simultaneously measured pulsatile arterial blood velocities.

Main Results:

  • Identified significant inverse correlations between intravascular signal and blood velocity in standard EPI sequences.
  • Demonstrated that flow compensation substantially reduces these correlated variations, decreasing physiological noise.
  • Observed a significant twofold increase in intravascular SNR in the middle cerebral and internal carotid arteries (P < 0.05).
  • Reported reduced phase standard deviation in the internal carotid arteries, indicating improved data stability.

Conclusions:

  • Flow compensation effectively reduces physiological noise from pulsatile flow and inflow in brain artery AIF measurements.
  • This technique enhances the quantitative accuracy of AIF by improving intravascular SNR.
  • The findings support the use of flow compensation for more reliable neuroimaging studies relying on AIF.