bioRxivBioengineeringPreprint
Towards whole-heart quantitative myocardial perfusion using a dual-sequence framework with multiband acceleration
Giulio FerrazziiD, Carlos Galán‐ArriolaiD, Carlos Velasco Jimeno, Carlos RealiD, Matteo Ghidara, Gonzalo J. López-Martín, Teresa CorreiaiD, Borja IbáñeziD, Javier Sánchez‐GonzaleziD
Abstract
Background2D Quantitative Myocardial Perfusion (Qperf) MRI is limited by its inability to provide complete myocardial coverage within a heartbeat interval. This study developed and evaluated dual saturation multiband-accelerated Qperf imaging to achieve near-complete left ventricular coverage in free-breathing at an adequate in-plane spatial resolution, using a semi-automated Myocardial Blood Flow (MBF) framework for quantification deployable directly on the scanner console. MethodsA dual-saturation single-band QPerf sequence was modified for multiband imaging, enabling the acquisition of 6 high-resolution myocardial slices plus Arterial Input Function (AIF) during free-breathing. The technique was evaluated in 16 sedated pigs (13 healthy and 3 with LAD occlusion) under rest conditions on a 3T MRI scanner. Additionally, two healthy pigs underwent stress imaging as well. Statistical comparisons were performed between multiband and single-band MBF values in corresponding AHA segments. ResultsQualitatively, multiband QPerf provided superior left ventricular coverage and comparable image quality to single-band Qperf MBF maps, potentially enabling a more comprehensive detection of perfusion defects at rest. Quantitatively, multiband QPerf yielded lower MBF values than single-band QPerf (p < 0.01). However, Bland-Altman analysis (mean difference: -0.17 ml/min/g; 95% CI: -1.12 to 0.79 ml/min/g) and Passing-Bablok regression (intercept: -0.01 ml/min/g; 95% CI: - 0.37 to 0.28 ml/min/g) indicated that such discrepancy remained within the expected confidence intervals. Furthermore, the Passing-Bablok slope (0.88; 95% CI: 0.73-1.06) confirmed that mb-QPerf maintained sensitivity comparable to sb-QPerf in detecting perfusion changes under rest conditions. Finally, there was an overall increase in MBF values during stress vs rest conditions (average MBF Ratio 1.67 {+/-} 0.31) when comparing healthy pigs. ConclusionMultiband-accelerated Qperf is feasible, providing improved left ventricular coverage, adequate in-plane resolution, and a semi-automated MBF quantification framework directly on the scanner console. Compared to its single-band counterpart, multiband QPerf demonstrated a more comprehensive visualization of perfusion defects and comparable sensitivity and accuracy in detecting perfusion changes at rest. Further research and clinical validation in patient populations are needed to confirm its utility in the diagnosis of coronary artery disease.
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Clinical evaluation of the Multimapping technique for simultaneous myocardial T1 and T2 mapping
C. Jarkman, C.-J. Carlhall, M. Henningsson·bioRxiv·Jun 2, 2022
- Rest/Stress Myocardial Perfusion Imaging by Positron Emission Tomography with 18F-Flurpiridaz: A Feasibility Study in Mice
S. Bengs, G. I. Warnock, … A. Haider·bioRxiv·Sep 5, 2021
- Computational modeling of left ventricular flow using PC-CMR-derived four-dimensional wall motion
Seyed Babak Peighambari, Tanmay Mukherjee, … Reza Avazmohammadi·International Journal of Engineering SciencePeer-reviewed·Mar 23, 2026
- Rapid quantification of tissue perfusion properties with a two-stage look-up table: a simulation study
B. Yang·bioRxiv·Nov 4, 2021
- Lights, Camera, Path Splitter: A New Approach for Truly Simultaneous Dual Optical Mapping of the Heart with a Single Camera
R. Jaimes, D. McCullough, … N. G. Posnack·bioRxiv·Jul 24, 2019
- Integrated multi-modal data analysis for computational modeling of healthy and location-dependent myocardial infarction conditions in porcine hearts
Ricardo M. Rosales, Ming Wu, … Esther Pueyo·PLoS Computational BiologyPeer-reviewed·Mar 16, 2026