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Abstract #2002

Linear SAMER: linear motion optimization for scout accelerated retrospective motion estimation and reduction with linear+ reordering in MPRAGE

Yantu Huang1, Daniel Nicolas Splitthoff2, Bryan Clifford3, Daniel Polak2,4, Stephen Cauley4,5, Wei-Ching Lo3, Nan Xiao1, and Huixin Tan1
1Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Siemens Medical Solutions, Boston, MA, United States, 4Massachusetts General Hospital, Charlestown, MA, United States, 5Harvard Medical School, Boston, MA, United States

Synopsis

Keywords: Motion Correction, Head & Neck/ENTSAMER uses a fast reference scan (“scout”) and short additional guidance lines in each shot of an MPRAGE sequence (“linear+ reordering”) to calculate motion parameters. Optimization of rigid body motion parameters are typically nonlinear. In this work we exploit local linearity with SAMER to improve the performance. During motion estimation, the initial guess of motion parameters for a given shot is taken from the previous most similar shot. Similarity is determined by correlations of the linear+ guidance lines. Retrospective reconstructions of volunteer data show the proposed method has very good computation performance and can handle large motion well.

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Keywords