Abstract #0565

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

Mathias Davids^1,2,3, Peter Dietz⁴, Gudrun Ruyters⁴, Manuela Roesler⁴, Valerie Klein^1,3, Bastien Guerin^1,2, David A Feinberg^5,6, and Lawrence L Wald^1,2,7

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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