Abstract #0449

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

Stephen Cauley^1,2, Daniel Polak^1,3,4, Wei Liu⁵, Berkin Bilgic^1,2, Borjan Gagoski^2,6, P. Ellen Grant^2,6, John Conklin^2,7, John Kirsch^1,2,7, Susie Y. Huang^1,2,7,8, Kawin Setsompop^1,2,8, and Lawrence L. Wald^1,2,8

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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