Prediction of experimental cardiac magnetostimulation thresholds using pig-specific body models: research article
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 th...
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| Main Authors: | , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
October 2023
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| In: |
Magnetic resonance in medicine
Year: 2023, Volume: 90, Issue: 4, Pages: 1594-1609 |
| ISSN: | 1522-2594 |
| DOI: | 10.1002/mrm.29717 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1002/mrm.29717 Verlag, kostenfrei, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.29717 
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| Author Notes: | Valerie Klein, Mathias Davids, Livia Vendramini, Natalie G. Ferris, Lothar R. Schad, David E. Sosnovik, Christopher T. Nguyen, Lawrence L. Wald, Bastien Guérin |
| Summary: | 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. |
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| Item Description: | Online veröffentlicht: 8. Juni 2023 Gesehen am 26.02.2024 |
| Physical Description: | Online Resource |
| ISSN: | 1522-2594 |
| DOI: | 10.1002/mrm.29717 |