Harish Kamineni1, Paul J Stadnik2, Jeffrey A VonArx2, Larry Stotts2, Ji Chen3, and Krishna KN Kurpad2
1Electrical & Computer Engineering, Texas A&M University, College Station, TX, United States, 2Micro Systems Engineering Inc., Lake Oswego, OR, United States, 3Electrical & Computer Engineering, University of Houston, Houston, TX, United States
Synopsis
The Tier 3 procedure for testing electrically
long active implantable medical devices (AIMDs) for MRI RF safety involves the
development of transfer function models (TFMs) of the AIMDs. Accuracy of
the TFM depends on how closely the TSM mimics the tissues in which the AIMD is
implanted. We find that the conductivity of the medium surrounding the lead
electrode has a strong influence on the transfer function magnitude of the DUT.
Therefore, TFMs of the DUT developed in a TSM whose conductivity mimics that of
the in-vivo tissue that surrounds the electrode under test results in the most
accurate TFM.
Introduction
The Tier 3 ISO procedure 1,2 for
testing electrically long active implantable medical devices (AIMDs) for MRI RF
safety involves the development of transfer function models (TFMs) of the
AIMDs. The TFMs of the lead electrode relate the incident tangential E-field (Etan)
along the length of the AIMD from an MRI RF coil, to the tissue RF power
deposition at the lead electrode as:
$$$P_{dep}=S\int{TF(z)*E_{tan}(z)dz}$$$ (1)
where, is the normalized complex piecewise transfer
function3, S is the experimentally determined power conversion
factor. The product of S and TF(z) yields the TFM of the lead electrode.
Accurate estimates of tissue RF power
deposition are obtained when the conductivity of the tissue simulating medium
(TSM) in which the TFMs are measured closely mimics the conductivity of the
target tissue medium in which the AIMD is implanted. Currently, TSM related
test specifications impose unduly severe testing requirements and raise
concerns about the resulting accuracy of the estimated tissue RF power
deposition.
This work is an extension
of previous work4,5, where we prove our hypothesis that the conductivity
of the tissue that is in intimate contact with the lead electrode has a stronger
influence on the tissue RF power deposition than the conductivity of the tissue
surrounding the rest of the lead body.Methods
The device under
test (DUT) consisted of a 530 mm long commercial bradycardia lead whose
proximal contacts were connected to an Implantable Pacing Generator (IPG). The
DUT was placed in heterogeneous media as shown in Figure 1. Three candidate TSM
conductivities corresponding to body average (0.47 S/M), myocardium average
(0.65 S/m) and blood (1.20 S/m) (Table 1) were considered for this analysis. The
normalized TF(z) of the helical tip electrode for each TSM conductivity combination
(Table 1) was obtained at 64 MHz with a PiX system (ZMT, Zurich, Switzerland).
The corresponding scaling factor (S) measurements were obtained with a SAR
probe in the MITS 1.5T system (ZMT, Zurich, Switzerland) over 3 different lead
pathways (foldback positions) for each TSM conductivity combination.
For both TF(z) and
S measurements, gel box fixtures (Figure 2) that consisted of 3D printed plastic frames to which were glued porus
fabric material were constructed. The DUT helical tip electrode was placed
within the gel box fixtures and the remainder of the lead body was placed
outside the fixtures but within the appropriate phantom for TF(z) or S
measurements. The gel box fixtures were filled with a PAA gel set to the tip
conductivities specified in Table 1. The remainder of the phantom was filled
with saline solution set to the lead conductivities specified in Table 1. The
porus fabric material ensured that the gel material and conductivity remained
unchanged during the measurement, while simultaneously ensuring electrical
contact with the surrounding saline.
E-field maps in multiple
human body models spanning the 5th to 95th percentiles of
BMI and height, exposed to MRI RF electromagnetic fields from several different
birdcage coil models at various landmark positions, patient positioning (eg. Supine,
prone, etc) were obtained using a numerical simulation software (SEMCAD, ZMT,
Zurich, Switzerland). Complex Etans along 6 cardiac lead pathways
were extracted from each resulting in
vivo E-field map. Tissue RF power deposition at the DUT helical tip
electrode was computed using equation (1). The 99th percentile worst
case RF power deposition was computed for each TFM above.Results
TFMs of the DUT
helical tip electrode corresponding to the 9 combinations of Tip TSM and Lead
TSM in Table 1 are shown in Figure 3. The 99th percentile worst case
in vivo RF power deposition of each of the above TFMs normalized to homogeneous
TSM with conductivity of 0.47S/m (Tip TSM, Lead TSM = 0.47S/m, Table 1) are
shown in Table 2.Discussion
The TFMs of the DUT (Figure 3) as well as the computed
normalized 99th percentile worst case RF power deposition (Table 2) show
greater sensitivity to change in the tip medium conductivity (average change of
220% over the tested conductivities) than change in lead medium conductivity
(average change of 29% over the tested conductivities). Electrode power
deposition decreases with increase in lead medium conductivity, indicating
increased capacitive power loss in the lead body. Further error analysis is
required to determine the cause of lower than expected increase in RF power
deposition for lead conductivity of 0.65 S/m and 1.20 S/m for a tip
conductivity of 0.65 S/m, although the trend is preserved.Conclusion
The conductivity of the medium surrounding the lead electrode has a
strong influence on the transfer function magnitude of the DUT, whereas the
conductivity of the medium surrounding the remainder of the lead body has a
weaker influence on the transfer function magnitude. For cardiac applications, a
heterogeneous medium (lead conductivity: 1.20 S/m, tip conductivity: 0.65 S/m)
yields the most accurate estimate of RF power deposition. However, developing
TFMs of the DUT helical tip electrode in a homogeneous TSM with conductivity
set to 0.65 S/m yields conservative estimates of the tissue RF power deposition
and reduces testing complexity.Acknowledgements
No acknowledgement found.References
1 ISO/TS 10974 Ed.1, Clause 10,
2 ISO/TS 10974 Ed. 2, Clause
8,
3 Park SM et al, JMRI
2007 Nov;26(5): 1278-85,
4 Kurpad K et al, ISMRM Workshop on Ensuring RF Safety in MRI: Current
Practices & Future Directions, McLean VA, Sep 28-Oct 1 2017,
5 Kurpad K.N. et al, ISMRM 26th Annual Meeting and Exhibition, Paris,
France, Jun 16-21 2018, Program #4075.