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Updated: Feb 17, 2026

Cardiac Magnetic Resonance Imaging at 7 Tesla
Published on: January 6, 2019
Cardiac MR elastography using reduced-FOV, single-shot, spin-echo EPI.
Yi Sui1, Shivaram P Arunachalam1, Arvin Arani1
1Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Reduced field of view (rFOV) cardiac magnetic resonance elastography (MRE) significantly improves image quality and reduces ghosting artifacts compared to conventional full-field of view (full-FOV) MRE. This technique enhances MRE stiffness maps and magnitude images for better cardiac assessments.
Area of Science:
- Medical Imaging
- Biophysics
- Cardiovascular Imaging
Background:
- Cardiac magnetic resonance elastography (MRE) is an emerging technique for non-invasively assessing myocardial stiffness.
- Conventional MRE techniques often suffer from artifacts such as ghosting, which can degrade image quality and hinder accurate stiffness quantification.
- Optimizing acquisition strategies is crucial for improving the diagnostic utility of cardiac MRE.
Purpose of the Study:
- To implement and evaluate a reduced field of view (rFOV) technique for cardiac MRE.
- To compare the image quality of rFOV cardiac MRE with the conventional full field of view (full-FOV) acquisition.
- To assess the impact of rFOV on both magnitude images and post-processed MRE stiffness maps.
Main Methods:
- Seventeen healthy volunteers underwent both full-FOV and rFOV cardiac MRE scans at 140 Hz.
- Two radiologists performed blinded comparative assessments of magnitude images and stiffness maps.
- Quantitative analysis included octahedral shear strain-based signal-to-noise ratio (OSS-SNR) and myocardial stiffness measurements.
Main Results:
- rFOV cardiac MRE demonstrated superior subjective image quality and reduced ghosting artifacts compared to full-FOV MRE.
- Quantitative analysis revealed a significantly higher OSS-SNR in rFOV scans (2.1 vs. 1.4).
- A reduction in stiffness variation within the myocardium was observed with rFOV in a subgroup of subjects.
Conclusions:
- The rFOV technique for cardiac MRE effectively reduces ghosting artifacts.
- This method significantly improves image quality in both MRE magnitude images and stiffness maps.
- rFOV cardiac MRE shows promise for enhanced diagnostic accuracy in cardiovascular assessments.
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