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Automated identification of minimal myocardial motion for improved image quality on MR angiography at 3 T
Ali Ustun1, Milind Desai, Khaled Z Abd-Elmoniem
1Department of Radiology, Johns Hopkins University Medical School, JHOC 4223, 601 N Caroline St., Baltimore, MD 21287, USA.
Objective:
Imaging during a period of minimal myocardial motion is of paramount importance for coronary MR angiography (MRA). The objective of our study was to evaluate the utility of FREEZE, a custom-built automated tool for the identification of the period of minimal myocardial motion, in both a moving phantom at 1.5 T and 10 healthy adults (nine men, one woman; mean age, 24.9 years; age range, 21-32 years) at 3 T.
Conclusion:
Quantitative analysis of the moving phantom showed that dimension measurements approached those obtained in the static phantom when using FREEZE. In vitro, vessel sharpness, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were significantly improved when coronary MRA was performed during the software-prescribed period of minimal myocardial motion (p < 0.05). Consistent with these objective findings, image quality assessments by consensus review also improved significantly when using the automated prescription of the period of minimal myocardial motion. The use of FREEZE improves image quality of coronary MRA. Simultaneously, operator dependence can be minimized while the ease of use is improved.
Insights
FREEZE, an automated tool, improves coronary magnetic resonance angiography (MRA) image quality by identifying minimal myocardial motion. This enhances vessel sharpness and signal-to-noise ratio, making MRA more reliable and easier to perform.
Area of Science:
- Cardiovascular Imaging
- Medical Physics
- Magnetic Resonance Imaging
Background:
- Minimizing myocardial motion is crucial for high-quality coronary magnetic resonance angiography (MRA).
- Accurate identification of the quiescent cardiac phase is essential for optimal image acquisition.
- Existing methods may be operator-dependent and time-consuming.
Purpose of the Study:
- To evaluate the effectiveness of FREEZE, a custom automated tool, in identifying minimal myocardial motion.
- To assess the impact of FREEZE on coronary MRA image quality in a phantom and in healthy volunteers.
- To determine if FREEZE improves objective measurements and subjective image quality assessments.
Main Methods:
- FREEZE was tested on a moving phantom at 1.5 T and 10 healthy adults at 3 T.
- Coronary MRA was performed using the period of minimal myocardial motion identified by FREEZE.
- Objective metrics (dimension measurements, sharpness, SNR, CNR) and subjective image quality were analyzed.
Main Results:
- Dimension measurements in the moving phantom approached static phantom accuracy with FREEZE.
- Vessel sharpness, SNR, and CNR significantly improved in vitro during FREEZE-guided MRA (p < 0.05).
- Consensus review confirmed significant improvements in overall image quality using FREEZE.
Conclusions:
- The FREEZE tool effectively identifies the period of minimal myocardial motion for coronary MRA.
- Utilizing FREEZE significantly enhances coronary MRA image quality, including vessel sharpness and SNR.
- FREEZE improves ease of use and reduces operator dependence in coronary MRA acquisition.
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