ArticleMagnetic resonance in medicine2021
Investigating cardiac stimulation limits of MRI gradient coils using electromagnetic and electrophysiological simulations in human and canine body models.
Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Electromagnetic and Electrophysiological Modeling of Cardiac Stimulation Thresholds in 13 MRI Gradient Systems and 56 Body Models.Magnetic resonance in medicine · 2026Article
- Simulation of dB/dt-Over-Electric Field Cardiac Magnetostimulation Safety Ratios in 75 Body Models and 18 Gradient Systems.Magnetic resonance in medicine · 2026Article
- Feasibility of strong diffusion encoding and fast readout using a plug-and-play head gradient insert at 7 T.Magnetic resonance in medicine · 2025Article
- Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025Review
- 7T MRI in the evaluation of ischemic stroke: a systematic review.Frontiers in neuroscience · 2025Review
- Prediction of experimental cardiac magnetostimulation thresholds using pig-specific body models.Magnetic resonance in medicine · 2023Article
- Location-aware ingestible microdevices for wireless monitoring of gastrointestinal dynamics.Nature electronics · 2023Article
- Measurement of magnetostimulation thresholds in the porcine heart.Magnetic resonance in medicine · 2022Article
- Safety of MRI in patients with retained cardiac leads.Magnetic resonance in medicine · 2022Article
- Nano drugs delivery system: A novel promise for the treatment of atrial fibrillation.Frontiers in cardiovascular medicine · 2022Review
- Application of Advanced Imaging Modalities in Veterinary Medicine: A Review.Veterinary medicine (Auckland, N.Z.) · 2022Review
- A Review of Microrobot's System: Towards System Integration for Autonomous Actuation In Vivo.Micromachines · 2021Review
- Optimization of MRI Gradient Coils With Explicit Peripheral Nerve Stimulation Constraints.IEEE transactions on medical imaging · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
purposeCardiac stimulation (CS) limits to gradient coil switching speed are difficult to measure in humans; instead, current regulatory guidelines (IEC 60601-2-33) are based on animal experiments and electric field-to-dB/dt conversion factors computed for a simple, homogeneous body model. We propose improvement to this methodology by using more detailed CS modeling based on realistic body models and electrophysiological models of excitable cardiac fibers.
methodsWe compute electric fields induced by a solenoid, coplanar loops, and a commercial gradient coil in two human body models and a canine model. The canine simulations mimic previously published experiments. We generate realistic fiber topologies for the cardiac Purkinje and ventricular muscle fiber networks using rule-based algorithms, and evaluate CS thresholds using validated electrodynamic models of these fibers.
resultsWe were able to reproduce the average measured canine CS thresholds within 5%. In all simulations, the Purkinje fibers were stimulated before the ventricular fibers, and therefore set the effective CS threshold. For the investigated gradient coil, simulated CS thresholds for the x-, y-, and z-axis were at least one order of magnitude greater than the International Electrotechnical Commission limit.
conclusionWe demonstrate an approach to simulate gradient-induced CS using a combination of electromagnetic and electrophysiological modeling. Pending additional validation, these simulations could guide the assessment of CS limits to MRI gradient coil switching speed. Such an approach may lead to less conservative, but still safe, operation limits, enabling the use of the maximum gradient amplitude versus slew rate parameter space of recent, powerful gradient systems.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.