Currently, modified dixon (mDixon) gradient echo sequence is widely used for respiratory navigated whole-heart coronary magnetic resonance angiography (MRA) for the evaluation of coronary anatomy and abnormalities. However, the main drawback of this approach is that the scan time is longer and prone to interference with motion artifacts. In this study, we investigated the utility of whole-heart coronaryMRA using accelerated mDixonwith compressed sensing (CS) and artificial intelligence(AI) technologies at 3Tesla. The initial results showedtheCS-AI mDixontechnique has potential to be the most viable alternative to enhance the clinical workflow of coronary MRA.
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