Comparison of Myocardial Blood Flow Quantification Models for Double ECG Gating Arterial Spin Labeling MRI: Reproducibility Assessment

• Published in: Journal of magnetic resonance imaging Vol. 60; no. 4; pp. 1577 - 1588
• Main Authors: Aramendía‐Vidaurreta, Verónica, Solís‐Barquero, Sergio M., Vidorreta, Marta, Ezponda, Ana, Echeverria‐Chasco, Rebeca, Bastarrika, Gorka, Fernández‐Seara, María A.
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.10.2024; Wiley Subscription Services, Inc
• Subjects: adiabatic inversion pulses; arterial spin labeling; Blood flow; Coefficient of variation; Data acquisition; EKG; Error analysis; Error correction; Field strength; Gating; Heart rate; Image acquisition; Image processing; In vivo methods and tests; Labeling; Labels; Monte Carlo simulation; myocardial perfusion; Performance assessment; quantification model; Reproducibility; Simulation; Spin labeling; Statistical analysis; Statistical models; Statistical tests; Variance analysis; myocardial perfusion; quantification model; adiabatic inversion pulses; reproducibility; arterial spin labeling
• ISSN: 1053-1807; 1522-2586; 1522-2586
• DOI: 10.1002/jmri.29220

Background Arterial spin labeling (ASL) allows non‐invasive quantification of myocardial blood flow (MBF). Double‐ECG gating (DG) ASL is more robust to heart rate variability than single‐ECG gating (SG), but its reproducibility requires further investigation. Moreover, the existence of multiple quantification models hinders its application. Frequency‐offset‐corrected‐inversion (FOCI) pulses provide sharper edge profiles than hyperbolic‐secant (HS), which could benefit myocardial ASL. Purpose To assess the performance of MBF quantification models for DG compared to SG ASL, to evaluate their reproducibility and to compare the effects of HS and FOCI pulses. Study Type Prospective. Subjects Sixteen subjects (27 ± 8 years). Field Strength/Sequence 1.5 T/DG and SG flow‐sensitive alternating inversion recovery ASL. Assessment Three models for DG MBF quantification were compared using Monte Carlo simulations and in vivo experiments. Two models used a fitting approach (one using only a single label and control image pair per fit, the other using all available image pairs), while the third model used a T1 correction approach. Slice profile simulations were conducted for HS and FOCI pulses with varying B0 and B1. Temporal signal‐to‐noise ratio (tSNR) was computed for different acquisition/quantification strategies and inversion pulses. The number of images that minimized MBF error was investigated in the model with highest tSNR. Intra and intersession reproducibility were assessed in 10 subjects. Statistical Tests Within‐subject coefficient of variation, analysis of variance. P‐value <0.05 was considered significant. Results MBF was not different across acquisition/quantification strategies (P = 0.27) nor pulses (P = 0.9). DG MBF quantification models exhibited significantly higher tSNR and superior reproducibility, particularly for the fitting model using multiple images (tSNR was 3.46 ± 2.18 in vivo and 3.32 ± 1.16 in simulations, respectively; wsCV = 16%). Reducing the number of ASL pairs to 13/15 did not increase MBF error (minimum = 0.22 mL/g/min). Data Conclusion Reproducibility of MBF was better for DG than SG acquisitions, especially when employing a fitting model. Level of Evidence 2 Technical Efficacy Stage 1