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Abstract #4398

Linear+: An optimized sequence reordering for robust scout accelerated retrospective motion estimation and correction

Daniel Polak1,2, Daniel Nicolas Splitthoff1, Bryan Clifford3, Lo Wei-Ching3, Azadeh Tabari4, Susie Huang4, John Conklin4, Lawrence L. Wald2, and Stephen Cauley2
1Siemens Healthcare GmbH, Erlangen, Germany, 2A. A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Siemens Medical Solutions, Malvern, PA, United States, 4Department of Radiology, Massachusetts General Hospital, Boston, MA, United States


Distributed sequence reorderings for 3D multi-shot acquisitions ensure overlap with the central k-space in every shot. This improves the stability of navigator-free retrospective motion estimation but often reduces the robustness of the image reconstruction. In this work, we have developed and optimized a novel sampling strategy (Linear+) that extends the standard sequential sequence ordering with a small number of additional calibration samples acquired near the k-space center. In simulation and in vivo, Linear+ enabled accurate motion parameter estimation and correction across multiple motion patterns while providing improved image homogeneity and spatial resolution compared to a distributed reordering.

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