Active MR k-space Sampling with Reinforcement Learning

20 Jul 2020Luis PinedaSumana BasuAdriana RomeroRoberto CalandraMichal Drozdzal

Deep learning approaches have recently shown great promise in accelerating magnetic resonance image (MRI) acquisition. The majority of existing work have focused on designing better reconstruction models given a pre-determined acquisition trajectory, ignoring the question of trajectory optimization... (read more)

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