View clinical trials related to Magnetic Resonance Angiography.
Filter by:Magnetic resonance coronary angiography (MRCA) has its advantage in its ability to assess the coronary artery morphology without radiation or contrast media. The clinical application of MRCA is still challenging mainly because of technical limitations such as: its time-consuming image acquisition, inconsistent image quality, and low spatial resolution. Optimization of MRCA image acquisition method is in progress and compressed sensing (CS) with post-processing (de-noising) by deep learning reconstruction (DLR) is promising to solve these problems. The lack of a consensus method to assess the coronary stenosis on MRCA is another issue. Generally, a stenosis in MRCA is observed as a signal intensity (SI) drop along the artery compared to the healthy segments. A previous study has reported from its comparison of MRCA with coronary angiography (CAG) that the SI drop of 35% in MRCA stenosis lesion corresponded to the significant stenosis in CAG. Although this SI drop phenomenon was not observed in a different study on chronic total obstruction cases. One of the hypothesized reasons is that the SI drop in MRCA is affected not only by the stenosis severity but also the plaque characteristics, which is not assessable by CAG. To investigate this hypothesis coronary CTA is needed, which is a robust modality to assess coronary stenosis and plaque characteristics. Comparison between MRCA with CTA has the potential to give better information for developing a robust method to assess MRCA. In this study, the investigators aim to evaluate the feasibility of MRCA scanned with optimized protocol and post-processing, and to develop robust coronary artery assessment method on MRCA, by comparison with clinical coronary CTA.