Keywords: Vessels, Machine Learning/Artificial IntelligenceRapid non-contrast MRA of supra-aortic arteries is necessary to select proper patient for endovascular therapy (EVT) as EVT has become the predominant therapy of acute ischemic stroke. However, conventional 3DTOF has long scan time of 6-7 minutes to cover the entire carotid artery. A highly accelerated MRA with iterative deep learning reconstruction was developed to provide the wide scan coverage and less motion sensitivity within 1 minute. We evaluated the technique with prospectively and retrospectively undersampled data demonstrating high-quality vessel visualization and improved acquisition efficiency at 8x acceleration.
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