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Updated: Sep 11, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
Myocardial Arterial Spin Labeling with Double Inversion Recovery for reduced physiological noise
Maša Božić-Iven1,2,3, Stanislas Rapacchi4, Yi Zhang1
1Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
Purpose:
To introduce Double Inversion Recovery (DIR) preparations for myocardial Arterial Spin Labeling (myoASL) for mitigation of heart rate (HR) variability induced physiological noise (PN).
Methods:
DIR-labeling was implemented for double ECG-gated myoASL-sequences and compared with conventional Flow-sensitive Alternating Inversion Recovery (FAIR) labeling using single inversions. In DIR-preparations, the FAIR-inversion pulses were immediately followed by an identical reinversion pulse, applied either slice-selectively or nonselectively. Bloch-equation-based simulation and phantom experiments were performed to evaluate the PN and SNR across a range of HR variabilities. Data from six healthy subjects were acquired to evaluate myocardial blood flow (MBF), PN, and SNR in vivo.
Results:
Simulation experiments showed that the average MBF values remained nearly constant across the range of HR variabilities and were comparable across all three sequences. However, DIR-labeling allowed for greater recovery of the myocardial background signal, which mitigates the sensitivity to HR-dependent changes in the inversion time. Consequently, PN in the presence of HR variability was substantially reduced with DIR-labeling. For HR variabilities corresponding to the mean value observed in vivo, this resulted in a simulated SNR gain of 1.79 0.90 for selective and 1.55 0.77 for nonselective DIR-labeling. In vivo, DIR-labeling showed reduced PN, with 53% ( )/44% ( ) less PN compared with conventional FAIR-myoASL, leading to an average SNR gain of 1.47 0.63 ( )/1.32 0.57 ( ) with selective/nonselective reinversions.
Conclusion:
The proposed DIR-preparations reduce sensitivity to HR variations and alleviate PN in double ECG-gated myoASL, improving the precision of myoASL-based perfusion quantification.
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