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Motion artifacts often spoil the radiological interpretation of MR images,and in the most severe cases the scan needs be repeated, with additional costsfor the provider. We discuss the application of a novel 3D retrospective rigidmotion correction and reconstruction scheme for MRI, which leverages multiplescans contained in a MR session. Typically, in a multi-contrast MR session,motion does not equally affect all the scans, and some motion-free scans aregenerally available, so that we can exploit their anatomic similarity. Theuncorrupted scan is used as a reference in a generalized rigid-motionregistration problem to remove the motion artifacts affecting the corruptedscans. We discuss the potential of the proposed algorithm with a prospectivein-vivo study and clinical 3D brain protocols. This framework can be easilyincorporated into the existing clinical practice with no disruption to theconventional workflow.

Towards retrospective motion correction and reconstruction for clinical 3D brain MRI protocols with a reference contrast