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Related Experiment Video

Updated: May 7, 2026

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling
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Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

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Challenges for non-invasive brain perfusion quantification using arterial spin labeling.

I Sousa1, N Santos, J Sanches

  • 1Instituto de Sistemas e Robótica; Lisbon, Portugal - Bioengineering Department, Instituto Superior Técnico; Lisbon, Portugal - Healthcare Sector, Siemens, S.A.; Portugal - patricia.figueiredo@ist.utl.pt.

The Neuroradiology Journal
|September 25, 2013
PubMed
Summary
This summary is machine-generated.

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Multiple inversion time Arterial Spin Labeling (ASL) Magnetic Resonance Imaging (MRI) reduces brain perfusion measurement errors and variability compared to standard methods. Optimized acquisition and analysis further improve accuracy in clinical practice.

Area of Science:

  • Neuroimaging
  • Medical Physics
  • Radiology

Background:

  • Arterial Spin Labeling (ASL) provides non-invasive brain perfusion quantification using Magnetic Resonance Imaging (MRI).
  • Standard ASL protocols face challenges in pathological conditions with altered cerebrovascular dynamics, leading to potential measurement errors.
  • Accurate perfusion assessment is crucial for diagnosing and monitoring various neurological conditions.

Purpose of the Study:

  • To address challenges in brain perfusion measurement using pseudo-continuous ASL (PASL) due to arterial transit time variations.
  • To estimate errors associated with different ASL acquisition types and propose methods for error minimization.
  • To evaluate the effectiveness of multiple inversion time ASL acquisitions in reducing measurement errors and inter-subject variability.

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Last Updated: May 7, 2026

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Construction and Application of Cerebral Functional Region-Based Cerebral Blood Flow Atlas Using Magnetic Resonance Imaging-Arterial Spin Labeling
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Main Methods:

  • Simulations were performed to estimate errors using different ASL acquisition strategies.
  • A mathematical model was fitted to data collected at multiple time points.
  • Optimized acquisition time points and physiological parameter distributions were incorporated into model estimation.
  • ASL data from a group of subjects were analyzed comparing single versus multiple inversion time acquisitions.

Main Results:

  • Simulations indicated that multiple inversion time ASL acquisitions reduce measurement errors compared to standard single inversion time approaches.
  • Analysis of human subject data showed reduced inter-subject variability in perfusion measurements with multiple inversion time acquisitions.
  • Optimized acquisition and analysis techniques further minimized both measurement errors and variability.

Conclusions:

  • Multiple inversion time ASL acquisitions offer improved accuracy and reduced variability in brain perfusion measurements.
  • Optimized acquisition and analysis strategies enhance the reliability of ASL for clinical use.
  • These advancements are critical for the routine incorporation of ASL into clinical MRI protocols, especially in complex pathologies.