Keywords: Heart, Machine Learning/Artificial Intelligence, Interventional, InteractiveInteractive MR sequences have relatively low spatial and temporal resolution due to the limited acquisition and reconstruction time available. We propose to jointly optimize a variable density spiral acquisition and deep artifact suppression network (via a bandit-based approach) to maximize acquisition and reconstruction efficiency and provide interactive high spatio-temporal resolution images. The proposed approach was characterized in simulations and demonstrated prospectively in-vivo, offering promising performance with improved image quality and good handling of abrupt scan-plane changes.
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