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Abstract #0565

PNS optimization of a high-performance asymmetric gradient coil for head imaging

Mathias Davids1,2,3, Peter Dietz4, Gudrun Ruyters4, Manuela Roesler4, Valerie Klein1,3, Bastien Guerin1,2, David A Feinberg5,6, and Lawrence L Wald1,2,7
1Martinos Center for Biomedical Imaging, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 4Siemens Healthineers, Erlangen, Germany, 5Advanced MRI Technologies, Sebastopol, CA, United States, 6Brain Imaging Center and Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States, 7Harvard-MIT, Division of Health Sciences and Technology, Cambridge, MA, United States

PNS modeling was utilized during the design stage of a high-strength (Gmax = 200mT/m, Smax = 900 T/m/s) head gradient for 7T fMRI research. The design-stage preview of PNS thresholds and locations allowed alteration of the winding pattern to balance head and body stimulation. This process yielded significantly improved PNS thresholds and increased usability of the coil performance space. The results were validated using PNS experiments in a constructed coil.

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