Measuring the labeling efficiency of pseudocontinuous arterial spin labeling

Purpose Optimization and validation of a sequence for measuring the labeling efficiency of pseudocontinuous arterial spin labeling (pCASL) perfusion MRI. Methods The proposed sequence consists of a labeling module and a single slice Look‐Locker echo planar imaging readout. A model‐based algorithm wa...

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Bibliographic Details
Published in:Magnetic resonance in medicine 2017-05, Vol.77 (5), p.1841-1852
Main Authors: Chen, Zhensen, Zhang, Xingxing, Yuan, Chun, Zhao, Xihai, van Osch, Matthias J.P.
Format: Article
Language:English
Subjects:
Adult
Algorithms
arterial spin labeling (ASL)
Arteries
Arteries - diagnostic imaging
Brain
Brain - blood supply
Cerebral Arteries - diagnostic imaging
Cerebral blood flow
Cerebrovascular Circulation
Compensation
Computational efficiency
Computer Simulation
Computing time
Echo-Planar Imaging
Efficiency
Female
Flow stability
Healthy Volunteers
Heart
Heart - diagnostic imaging
Heart diseases
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Labeling
labeling efficiency
Magnetic Resonance Angiography - methods
Magnetic resonance imaging
Male
Medicine
MRI
Neuroimaging
Optimization
Perfusion
perfusion imaging
Positron-Emission Tomography
pseudocontinuous
Resonance
Signal Processing, Computer-Assisted
Spin labeling
Spin Labels
Stability analysis
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Summary:Purpose Optimization and validation of a sequence for measuring the labeling efficiency of pseudocontinuous arterial spin labeling (pCASL) perfusion MRI. Methods The proposed sequence consists of a labeling module and a single slice Look‐Locker echo planar imaging readout. A model‐based algorithm was used to calculate labeling efficiency from the signal acquired from the main brain‐feeding arteries. Stability of the labeling efficiency measurement was evaluated with regard to the use of cardiac triggering, flow compensation and vein signal suppression. Accuracy of the measurement was assessed by comparing the measured labeling efficiency to mean brain pCASL signal intensity over a wide range of flip angles as applied in the pCASL labeling. Results Simulations show that the proposed algorithm can effectively calculate labeling efficiency when correcting for T1 relaxation of the blood spins. Use of cardiac triggering and vein signal suppression improved stability of the labeling efficiency measurement, while flow compensation resulted in little improvement. The measured labeling efficiency was found to be linearly (R = 0.973; P 
ISSN:0740-3194
1522-2594
DOI:10.1002/mrm.26266