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Updated: Jan 29, 2026

MRI and PET in Mouse Models of Myocardial Infarction
Published on: December 19, 2013
Feasibility of multiple-view myocardial perfusion MRI using radial simultaneous multi-slice acquisitions
Ye Tian1,2, Jason Mendes1, Apoorva Pedgaonkar1
1Utah Center for Advanced Imaging Research (UCAIR), Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah, United States of America.
This study demonstrates that radial simultaneous multi-slice (SMS) MRI can image the entire heart in one heartbeat, improving coronary artery disease detection. A novel reconstruction technique enhances image quality and reduces blurring for both gated and ungated scans.
Area of Science:
- Cardiovascular Magnetic Resonance Imaging
- Medical Imaging Physics
- Coronary Artery Disease Diagnostics
Background:
- Standard cardiac MRI uses limited short-axis slices, potentially missing left ventricle abnormalities.
- Improved myocardial perfusion imaging is crucial for accurate coronary artery disease (CAD) detection.
Purpose of the Study:
- To assess the feasibility of radial simultaneous multi-slice (SMS) MRI for comprehensive cardiac coverage.
- To evaluate a motion-robust reconstruction framework for improved image quality in myocardial perfusion MRI.
Main Methods:
- Radial SMS MRI was used to acquire simultaneous short-axis and long-axis slices (2CH LA, 4CH LA) with and without ECG gating.
- A pixel tracking spatiotemporal constrained reconstruction method was applied to motion-corrupted data.
- Image quality metrics (SNR, CNR) were compared between reconstructions with and without pixel tracking.
Main Results:
- Complete coverage of the left ventricle (≥3 SA and ≥3 LA slices) was achieved in a single contrast pass per heartbeat.
- The pixel tracking reconstruction improved average SNR by 21% and CNR by 30%.
- Temporal blurring was reduced in both gated and ungated acquisitions.
Conclusions:
- Radial SMS MRI enables simultaneous multi-slice myocardial perfusion imaging across multiple views in every heartbeat.
- This technique enhances confidence in CAD detection by providing improved apical coverage and revealing ischemia in different orientations.
- The proposed pixel tracking reconstruction offers significant image quality improvements with minimal computational overhead.
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