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Abstract #0449

Geometric Coil Mixing (GCM) to Dampen Confounding Signals in MRI Reconstruction

Stephen Cauley1,2, Daniel Polak1,3,4, Wei Liu5, Berkin Bilgic1,2, Borjan Gagoski2,6, P. Ellen Grant2,6, John Conklin2,7, John Kirsch1,2,7, Susie Y. Huang1,2,7,8, Kawin Setsompop1,2,8, and Lawrence L. Wald1,2,8

1Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Department of Physics and Astronomy, Heidelberg University, Heidelberg, Germany, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China, 6Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, 7Division of Neuroradiology, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 8Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States

We introduce an artifact reduction technique that exploits the spatial locality afforded by multi-channel receiver array coils. Specifically, we create an optimal coil mixing with the purpose of dampening confounding signals prior to parallel imaging (PI) reconstruction. We demonstrate the mitigation of artifacts caused by PI model inaccuracies for Wave-CAIPI imaging in neurological and MSK applications. In addition, we illustrate the potential of this technique for minimizing the effects of non-rigid maternal and fetal motion during fetal brain imaging. This computationally efficient approach should allow for direct application of model based reconstruction/motion correction methods in difficult imaging scenarios.

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