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Status: Bibliographieeintrag

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Verfasst von:Klein, Valerie [VerfasserIn]   i
 Davids, Mathias [VerfasserIn]   i
 Vendramini, Livia [VerfasserIn]   i
 Ferris, Natalie G. [VerfasserIn]   i
 Schad, Lothar R. [VerfasserIn]   i
 Sosnovik, David E. [VerfasserIn]   i
 Nguyen, Christopher T. [VerfasserIn]   i
 Wald, Lawrence L. [VerfasserIn]   i
 Guérin, Bastien [VerfasserIn]   i
Titel:Prediction of experimental cardiac magnetostimulation thresholds using pig-specific body models
Titelzusatz:research article
Verf.angabe:Valerie Klein, Mathias Davids, Livia Vendramini, Natalie G. Ferris, Lothar R. Schad, David E. Sosnovik, Christopher T. Nguyen, Lawrence L. Wald, Bastien Guérin
E-Jahr:2023
Jahr:October 2023
Umfang:16 S.
Illustrationen:Illustrationen
Fussnoten:Online veröffentlicht: 8. Juni 2023 ; Gesehen am 26.02.2024
Titel Quelle:Enthalten in: Magnetic resonance in medicine
Ort Quelle:New York, NY [u.a.] : Wiley-Liss, 1984
Jahr Quelle:2023
Band/Heft Quelle:90(2023), 4 vom: Okt., Seite 1594-1609
ISSN Quelle:1522-2594
Abstract:Purpose Modern high-amplitude gradient systems can be limited by the International Electrotechnical Commission 60601-2-33 cardiac stimulation (CS) limit, which was set in a conservative manner based on electrode experiments and E-field simulations in uniform ellipsoidal body models. Here, we show that coupled electromagnetic-electrophysiological modeling in detailed body and heart models can predict CS thresholds, suggesting that such modeling might lead to more detailed threshold estimates in humans. Specifically, we compare measured and predicted CS thresholds in eight pigs. Methods We created individualized porcine body models using MRI (Dixon for the whole body, CINE for the heart) that replicate the anatomy and posture of the animals used in our previous experimental CS study. We model the electric fields induced along cardiac Purkinje and ventricular muscle fibers and predict the electrophysiological response of these fibers, yielding CS threshold predictions in absolute units for each animal. Additionally, we assess the total modeling uncertainty through a variability analysis of the 25 main model parameters. Results Predicted and experimental CS thresholds agree within 19% on average (normalized RMS error), which is smaller than the 27% modeling uncertainty. No significant difference was found between the modeling predictions and experiments (p < 0.05, paired t-test). Conclusion Predicted thresholds matched the experimental data within the modeling uncertainty, supporting the model validity. We believe that our modeling approach can be applied to study CS thresholds in humans for various gradient coils, body shapes/postures, and waveforms, which is difficult to do experimentally.
DOI:doi:10.1002/mrm.29717
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.

kostenfrei: Volltext: https://doi.org/10.1002/mrm.29717
 kostenfrei: Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.29717
 DOI: https://doi.org/10.1002/mrm.29717
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:cardiac stimulation
 electromagnetic exposure safety
 magnetostimulation thresholds
 MRI gradient field bioeffects
K10plus-PPN:188157301X
Verknüpfungen:→ Zeitschrift

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