Valerie Klein1,2, Mathias Davids1,2,3, Lothar R. Schad1, Lawrence L. Wald2,3,4, and Bastien Guérin2,3
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2A. A. Martinos Center for Biomedical Imaging, Department of Radiologoy, Massachusetts General Hospital, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States
Synopsis
Lack
of detailed data requires a conservative approach in the IEC 60601-2-33 safety
limits to prevent cardiac stimulation (CS) by MRI gradient switching. Analogous
to our previous peripheral nerve stimulation modeling, we use coupled electromagnetic
and electrophysiological simulations to investigate magnetically induced CS in human
and canine body models. Our CS simulation pipeline reproduces CS thresholds measured
in previous dog experiments. The predicted human CS thresholds are significantly
higher than the regulatory safety limits. With further validation, CS
simulations could eventually play an important role in determining appropriate MRI
safety limits.
Purpose
Safety regulations such as the IEC 60601-2-33 limit the
speed at which MRI gradient fields can be safely switched (dB/dt) to avoid inducing
peripheral nerve stimulation (PNS) and cardiac stimulation (CS)1.
The paucity of human CS threshold data and the difficulty of translating
knowledge from other species to humans have required a conservative approach in
the definition of CS limits by regulatory bodies. The animal studies underlying
these limits show a large variance in experimental CS thresholds2,3,
and the relationship between CS thresholds and dB/dt was derived using a
homogeneous ellipsoidal human body model2. In reality, the body is
highly heterogeneous, and simplified body models may bias the E-field to dB/dt scaling
factors. Finally, the limits were only derived for whole-body gradients and do
not specify guidelines for special-purpose systems (e.g., head gradients).
Unlike PNS, CS
thresholds cannot be measured safely in human volunteer studies, rendering validation
and investigation of the CS mechanisms extremely difficult. To address these
issues, we have extended our previous PNS simulations4,5 towards
prediction of MRI gradient-induced CS6. In this work, we compare the
CS thresholds determined from combined electromagnetic-electrophysiological
simulations of a canine to experimental data acquired in the 1990s7,8 as
a preliminary validation. Additionally, we perform similar simulations in a
human male and female body model to provide a further bridge between the canine
experiments and the human case.Methods
Modeling framework:
We used detailed adult human male and female body models (derived from the
Zygote body models, American Fork, UT, USA) as well as a canine model9
for the electromagnetic field simulations (Fig. 1A). The original canine model was
scaled to match the minimum, mean and maximum weights of the dogs in the
experiments (17-26 kg7, and 17-32 kg8). We added
realistic networks of cardiac Purkinje and ventricular muscle fibers to the
hearts of all body models using rule-based modeling algorithms that replicate
the average mammalian anatomy10,11 (Fig. 1B). After simulation of
the E-fields induced in the body models using a low-frequency FEM solver
(Sim4Life, Zurich MedTech, Switzerland), we projected the E-field onto the cardiac
fiber paths and integrated along them to obtain electric potential changes. We
modulated the potentials in time with the coil current waveform and fed the
resulting spatiotemporal potential variations into electrical-circuit models of
Purkinje and ventricular muscle fibers12,13,14. These models can
predict whether the induced potentials generate cardiac action potentials
(indicating CS).
Dog simulations: We
replicated the coils and their position relative to the dogs from the
experimental studies (Fig. 2A): 1) A pair of coplanar coils (C1) placed on the
left side of the canine torso7, and 2), a solenoid coil8
(C2). The CS thresholds were calculated in terms of current amplitude for
damped sinusoidal pulses (duration from onset of the dB/dt waveform to first
zero-crossing: 571 µs7, and 540 µs8).
Human
simulations: We placed the human body models in a whole-body
actively-shielded MRI gradient (Siemens “Sonata”, Erlangen, Germany) with the
head at isocenter. We simulated the CS thresholds for sinusoidal waveforms (10
bipolar pulses) with rise times between 0.2 ms and 10.0 ms. The CS thresholds
are compared to PNS thresholds simulated using the previously published and
validated PNS model4,5.Results
Figure 2B shows maximum intensity projections (MIPs) of
the E-field induced in the torso of the 17 kg canine model by coils C1 and C2
at a peak dB/dt amplitude of 1000 T/s. Table 1 compares simulated and
experimental CS thresholds for all dog weights. All thresholds are converted to
an equivalent rectangular current waveform7,8. In our simulations, the
Purkinje fibers set the CS threshold, as they are ~6-fold more sensitive to
stimulation than the ventricular muscle fibers.
Figure
3 shows MIPs of the E-field induced in the human models by the gradient’s Z-axis
at a slew rate of 100 T/m/s. Figure 4 shows the simulated CS and PNS thresholds
for both models and all gradient axes as well as the IEC cardiac limits. The
predicted CS thresholds are one to two orders of magnitude higher than the PNS thresholds
and at least 8-fold higher than the IEC limits.Discussion
This initial validation study shows good agreement
between the average simulated and experimental CS thresholds in dogs. However,
there are unavoidable differences between simulations and experiments (e.g., canine
anatomy, coil position, tissue properties) that may affect threshold values.
Moreover, the experiments only used a single current waveform and duration. Therefore,
we plan to conduct more rigorous validation studies in pigs. Better control of
the experimental protocol (animal position, use of multiple waveforms &
rise times, etc.) will enable us to more carefully assess the accuracy of our simulations.
Our
initial results of MRI gradient-induced CS in humans indicate that the IEC safety
limits may be conservative, even though this claim requires further
investigation. We plan to expand our human simulations towards other coil
designs, including head gradients. We also plan to investigate the inter-/intra-subject
variability of CS thresholds in more detail by reviewing thresholds measured in
cardiac pacemaker patients15. Eventually, realistic simulations of
CS could potentially play a central role in determining appropriate safety
limits for MRI gradients, ensuring patient safety without unnecessary restriction
of gradient performance.Acknowledgements
No acknowledgement found.References
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