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Coronary MR angiography revealed: how to optimize image quality
Masaki Ishida1, Hajime Sakuma1
1Department of Radiology, Mie University Hospital, 2-174 Edobashi, Tsu, Mie 514-8507, Japan.
Insights
Free-breathing coronary MR angiography offers noninvasive whole-heart visualization. Optimizing this technique is key for reliable coronary artery disease assessment, despite image acquisition challenges.
Area of Science:
- Cardiovascular imaging
- Medical diagnostics
Background:
- Coronary artery imaging is challenging due to vessel size and motion.
- Computed tomographic angiography is a common but invasive imaging method.
Purpose of the Study:
- To explain the optimization of free-breathing, whole-heart coronary MR angiography.
- To enable reliable assessment of coronary artery disease using MR angiography.
Main Methods:
- Utilizing free-breathing, whole-heart magnetic resonance (MR) angiography.
- Performing a single 3-dimensional acquisition for complete coronary tree visualization.
Main Results:
- Coronary MR angiography provides noninvasive, radiation-free visualization.
- High-quality image acquisition is operator-dependent and technically demanding.
Conclusions:
- Optimization is crucial for successful coronary MR angiography.
- This technique aids in the reliable assessment of coronary artery disease.
Abstract:
Magnetic resonance (MR) imaging of the coronary arteries has been challenging, owing to the small size of the vessels and the complex motion caused by cardiac contraction and respiration. Free-breathing, whole-heart coronary MR angiography has emerged as a method that can provide visualization of the entire coronary arterial tree within a single 3-dimensional acquisition. Although coronary MR angiography is noninvasive and without radiation exposure, acquisition of high-quality coronary images is operator dependent and is generally more difficult than computed tomographic angiography. This article explains how to optimize acquisition of coronary MR angiography for reliable assessment of coronary artery disease.
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