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We discuss the application of a novel 3D retrospective rigid motion correction and reconstruction scheme to in-vivo data for clinical 3D brain protocols. The correction scheme leverages multiple scans contained in a typical MR session, of which some are corrupted by motion but at least one scan may be devoid of motion artifacts. The uncorrupted scan is then used as a reference to regularize a generalized rigid-motion registration problem. We discuss the potential of the proposed algorithm with a prospective in-vivo study.
Rizzuti et al. (Wed,) studied this question.