Prediction of experimental cardiac magnetostimulation thresholds using pig‐specific body models
Year: 2023
Type: article
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.
Source: Magnetic Resonance in Medicine
DOI: 10.1002/mrm.29717
Institutions: Harvard University, Heidelberg University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Medizinische Fakultät Mannheim, Harvard–MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cleveland Clinic, Cleveland Clinic Lerner College of Medicine, Cleveland Clinic Research
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,500
Awards: Molecular Biophysics Training Grant, Microstructural Response of the Myocardium to Mechanical Load, Serial evaluation of cardioprotective effects of exercise training in heart failure using cardiac diffusion tensor MRI, Mitigation of peripheral nerve stimulation (PNS) in MRI, Center for Mesoscale Mapping
OpenAlex ID: W4379768664
