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Status: Bibliographieeintrag

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Verfasst von:Davids, Mathias [VerfasserIn]   i
 Schad, Lothar R. [VerfasserIn]   i
Titel:Prediction of peripheral nerve stimulation thresholds of MRI gradient coils using coupled electromagnetic and neurodynamic simulations
Verf.angabe:Mathias Davids, Bastien Guérin, Axel vom Endt, Lothar R. Schad, Lawrence L. Wald
Jahr:2019
Jahr des Originals:2018
Umfang:4 S.
Fussnoten:First published: 09 August 2018 ; Gesehen am 11.07.2019
Titel Quelle:Enthalten in: Magnetic resonance in medicine
Ort Quelle:New York, NY [u.a.] : Wiley-Liss, 1984
Jahr Quelle:2019
Band/Heft Quelle:81(2019), 1, Seite 686-701
ISSN Quelle:1522-2594
Abstract:Purpose As gradient performance increases, peripheral nerve stimulation (PNS) is becoming a significant constraint for fast MRI. Despite its impact, PNS is not directly included in the coil design process. Instead, the PNS characteristics of a gradient are assessed on healthy subjects after prototype construction. We attempt to develop a tool to inform coil design by predicting the PNS thresholds and activation locations in the human body using electromagnetic field simulations coupled to a neurodynamic model. We validate the approach by comparing simulated and experimentally determined thresholds for 3 gradient coils. Methods We first compute the electric field induced by the switching fields within a detailed electromagnetic body model, which includes a detailed atlas of peripheral nerves. We then calculate potential changes along the nerves and evaluate their response using a neurodynamic model. Both a male and female body model are used to study 2 body gradients and 1 head gradient. Results There was good agreement between the average simulated thresholds of the male and female models with the experimental average (normalized root-mean-square error: <10% and <5% in most cases). The simulation could also interrogate thresholds above those accessible by the experimental setup and allowed identification of the site of stimulation. Conclusions Our simulation framework allows accurate prediction of gradient coil PNS thresholds and provides detailed information on location and “next nerve” thresholds that are not available experimentally. As such, we hope that PNS simulations can have a potential role in the design phase of high performance MRI gradient coils.
DOI:doi:10.1002/mrm.27382
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1002/mrm.27382
 Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.27382
 DOI: https://doi.org/10.1002/mrm.27382
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:electromagnetic field simulation
 EM exposure safety
 magnetostimulation thresholds
 MRI gradient coil switching
 neurodynamic model
 peripheral nerve stimulation
K10plus-PPN:1669018202
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