Blaine A Chronik1, Meena Ramachandran. 1. Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA. bchronik@stanford.edu
Abstract
PURPOSE: To examine peripheral nerve stimulation (PNS) thresholds for normal human subjects in magnetic resonance imaging (MRI) gradient coils, and determine if observed thresholds could be predicted based on gross physiologic measurements. MATERIALS AND METHODS: PNS thresholds for 21 healthy normal subjects were measured using a whole-body gradient coil. Subjects were exposed to a trapezoidal echo-planar imaging (EPI) gradient waveform and the total change in gradient strength (DeltaG) required to cause PNS as a function of the duration of the gradient switching time (tau) were measured. Correlation coefficients and corresponding P values were calculated for the PNS threshold measurements against simple physiologic measurements taken of the subjects, including weight, height, girth, and average body fat percentage, in order to determine if there were any easily observable dependencies. RESULTS: No convincing correlations between threshold parameters and gross physiologic measurements were observed. CONCLUSION: These results suggest it is unlikely that a simple physiologic measurement of subject anatomy can be used to guide the operation of MRI scanners in a subject-specific manner in order to increase gradient system performance while avoiding PNS. Copyright 2003 Wiley-Liss, Inc.
PURPOSE: To examine peripheral nerve stimulation (PNS) thresholds for normal human subjects in magnetic resonance imaging (MRI) gradient coils, and determine if observed thresholds could be predicted based on gross physiologic measurements. MATERIALS AND METHODS: PNS thresholds for 21 healthy normal subjects were measured using a whole-body gradient coil. Subjects were exposed to a trapezoidal echo-planar imaging (EPI) gradient waveform and the total change in gradient strength (DeltaG) required to cause PNS as a function of the duration of the gradient switching time (tau) were measured. Correlation coefficients and corresponding P values were calculated for the PNS threshold measurements against simple physiologic measurements taken of the subjects, including weight, height, girth, and average body fat percentage, in order to determine if there were any easily observable dependencies. RESULTS: No convincing correlations between threshold parameters and gross physiologic measurements were observed. CONCLUSION: These results suggest it is unlikely that a simple physiologic measurement of subject anatomy can be used to guide the operation of MRI scanners in a subject-specific manner in order to increase gradient system performance while avoiding PNS. Copyright 2003 Wiley-Liss, Inc.
Authors: Seung-Kyun Lee; Jean-Baptiste Mathieu; Dominic Graziani; Joseph Piel; Eric Budesheim; Eric Fiveland; Christopher J Hardy; Ek Tsoon Tan; Bruce Amm; Thomas K-F Foo; Matt A Bernstein; John Huston; Yunhong Shu; John F Schenck Journal: Magn Reson Med Date: 2015-12-02 Impact factor: 4.668