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doi: 10.1002/jmri.20949
pmid: 17610288
AbstractCoronary magnetic resonance angiography (MRA) is a powerful noninvasive technique with high soft‐tissue contrast for the visualization of the coronary anatomy without X‐ray exposure. Due to the small dimensions and tortuous nature of the coronary arteries, a high spatial resolution and sufficient volumetric coverage have to be obtained. However, this necessitates scanning times that are typically much longer than one cardiac cycle. By collecting image data during multiple RR intervals, one can successfully acquire coronary MR angiograms. However, constant cardiac contraction and relaxation, as well as respiratory motion, adversely affect image quality. Therefore, sophisticated motion‐compensation strategies are needed. Furthermore, a high contrast between the coronary arteries and the surrounding tissue is mandatory. In the present article, challenges and solutions of coronary imaging are discussed, and results obtained in both healthy and diseased states are reviewed. This includes preliminary data obtained with state‐of‐the‐art techniques such as steady‐state free precession (SSFP), whole‐heart imaging, intravascular contrast agents, coronary vessel wall imaging, and high‐field imaging. Simultaneously, the utility of electron beam computed tomography (EBCT) and multidetector computed tomography (MDCT) for the visualization of the coronary arteries is discussed. J. Magn. Reson. Imaging 2007. © 2007 Wiley‐Liss, Inc.
Movement, Myocardium, X-Rays, Contrast Media, Heart, Coronary Angiography, Coronary Vessels, Imaging, Three-Dimensional, Image Processing, Computer-Assisted, Animals, Humans, Magnetic Resonance Angiography
Movement, Myocardium, X-Rays, Contrast Media, Heart, Coronary Angiography, Coronary Vessels, Imaging, Three-Dimensional, Image Processing, Computer-Assisted, Animals, Humans, Magnetic Resonance Angiography
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 87 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |