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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
Informing the design phase of a high-strength head gradient using PNS modeling allowed alteration of the coil windings to balance head and body PNS, which greatly improved PNS thresholds and usability of the coil performance. Results were validated in a constructed coil using PNS experiments.
Figure 4: Top: Number of reported stimulations in different body parts during the experimental study. Bottom: Maps of predicted PNS hot-spots in the male and female model given in terms of PNS oracle and equivalent PNS thresholds (inverse of the PNS oracle) for a 400 us rise time trapezoidal waveform. Every blob corresponds to an activation hot-spot, with both color and size corresponding to the strength of the activation.
Figure 1: Photo of the final constructed Impulse gradient coil and 3D rendering of the three-layer winding pattern (primary, intermediate, and secondary layers of all axes combined). The gray sphere corresponds to the 20 cm region-of-linearity (ROL). Note that the constructed coil is longer (160 cm) than the wire extent (119 cm) to improve mechanical properties and simplify the MR system assembly.