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Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling
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Pseudocontinuous arterial spin labeling with optimized tagging efficiency.

David D Shin1, Thomas T Liu, Eric C Wong

  • 1Center for Functional MRI, Department of Radiology, University of California, San Diego, La Jolla, California, USA. ddshin@ucsd.edu

Magnetic Resonance in Medicine
|January 12, 2012
PubMed
Summary
This summary is machine-generated.

Optimized PCASL (OptPCASL) enhances cerebral blood flow (CBF) estimation by minimizing phase tracking errors in pseudocontinuous arterial spin labeling (PCASL). This novel method improves functional activation detection and data reliability.

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Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Magnetic Resonance Imaging

Background:

  • Pseudocontinuous arterial spin labeling (PCASL) is sensitive to off-resonance effects and gradient imperfections.
  • These factors cause tagging efficiency loss and unpredictable cerebral blood flow (CBF) variations.
  • Phase tracking errors between RF pulses and flowing spins contribute to efficiency loss.

Purpose of the Study:

  • To introduce Optimized PCASL (OptPCASL) to minimize phase tracking errors in PCASL.
  • To improve the accuracy and reliability of CBF estimates.
  • To enhance the detection of functional activation in the brain.

Main Methods:

  • OptPCASL applies an additional compensation RF phase term and in-plane gradients to the PCASL pulse train.
  • Optimal RF phase and gradient amplitudes are determined via a prescan procedure.
  • The prescan involves short scans with automated postprocessing integrated into the scanner console.

Main Results:

  • The prescan procedure robustly and efficiently minimizes phase tracking error.
  • OptPCASL demonstrates improved detection of functional activation in the visual cortex.
  • Comparisons show enhanced temporal SNR, image SNR, and baseline CBF measures versus conventional PCASL.

Conclusions:

  • OptPCASL effectively mitigates phase tracking errors in PCASL.
  • The method offers a robust and time-efficient solution for improving CBF estimation.
  • OptPCASL shows promise for more reliable neuroimaging studies, particularly in functional activation detection.