Literature DB >> 25168778

Peripheral nerve stimulation-optimal gradient waveform design.

Rolf F Schulte1, Ralph Noeske2.   

Abstract

PURPOSE: Modern magnetic resonance imaging scanners with high-performance gradient systems have high maximum gradient strength (Gmax ) and slew rate (Smax ). Peripheral nerve stimulation (PNS) is often a more limiting factor for gradient waveform design than Gmax and Smax . Traditionally, the slew rate is derated globally to adhere to PNS limitations.
METHODS: In this work, the PNS limitation is already included in the gradient waveform design in the form of a time-varying slew rate, hence shortening the overall gradient duration.
RESULTS: Spiral and echo-planar imaging trajectories were designed with a multitude of parameters, and it was demonstrated that trajectory durations from conventional to PNS-optimal design can be shortened by 8 and 3%, respectively.
CONCLUSION: Including PNS-limits in the gradient waveform design can shorten the duration of gradient trajectories, thereby reducing associated artifacts.
© 2014 Wiley Periodicals, Inc.

Keywords:  echo-planar imaging; peripheral nerve stimulation convolution model; peripheral-nerve stimulation; spiral imaging; time-optimal gradient-trajectory design

Mesh:

Year:  2014        PMID: 25168778     DOI: 10.1002/mrm.25440

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  4 in total

1.  Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling.

Authors:  Óscar Peña-Nogales; Yuxin Zhang; Xiaoke Wang; Rodrigo de Luis-Garcia; Santiago Aja-Fernández; James H Holmes; Diego Hernando
Journal:  Magn Reson Med       Date:  2018-11-05       Impact factor: 4.668

2.  UTE-SPECIAL for3D localization at an echo time of 4 ms on a clinical 3 T scanner.

Authors:  Karl Landheer; Ralph Noeske; Michael Garwood; Christoph Juchem
Journal:  J Magn Reson       Date:  2019-12-21       Impact factor: 2.229

3.  Optimization methods for magnetic resonance imaging gradient waveform design.

Authors:  Matthew J Middione; Michael Loecher; Kévin Moulin; Daniel B Ennis
Journal:  NMR Biomed       Date:  2020-04-27       Impact factor: 4.044

4.  A gradient optimization toolbox for general purpose time-optimal MRI gradient waveform design.

Authors:  Michael Loecher; Matthew J Middione; Daniel B Ennis
Journal:  Magn Reson Med       Date:  2020-07-07       Impact factor: 4.668

  4 in total

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