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Abstract #0124

Separable motion estimation and correction for 2D TSE imaging using a rapid 3D volumetric scout acquisition

Daniel Polak1,2, Daniel Nicolas Splitthoff1, Berkin Bilgic2,3,4, Lawrence L. Wald2,3,4, Kawin Setsompop5, and Stephen F. Cauley2,3,4
1Siemens Healthcare GmbH, Erlangen, Germany, 2Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 5Department of Radiology, Stanford, Stanford, CA, United States

SAMER is a navigation-free retrospective motion-correction technique which achieves rapid motion estimation using an ultra-fast, low-resolution scout scan as an image prior. In this work, the SAMER framework is extended to 3D volumetric reconstructions of 2D TSE imaging data. The optimized 3D volumetric scout scan is combined with a distributed 2D TSE slice ordering for fully separable motion estimation with negligible added scan time. The motion correction performance was evaluated in-vivo for representative motion trajectories and compatibility to highly accelerated Simultaneous Multi-Slice acquisitions is demonstrated.

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