Motion artifacts pose significant problems for the acquisition of MR images, especially in pediatric populations. In this work we developed a retrospective motion correction framework that uses motion information from two electromagnetic sensors attached to the forehead of subjects. We evaluated our retrospective motion correction strategy on 12 different cases and show that that motion traces from the EM tracker can be used to retrospectively improve image quality.
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