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Conductive Elastomer for Wearable RF Coils
Andreas Port1, Roger Luechinger1, David Otto Brunner1, and Klaas Paul Pruessmann1
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland

Synopsis

Several stretchable conductor concepts have been proposed that rely on a continuous metal phase, rigid or liquid, as conductive path. Conductive elastomers, fundamentally different, form the conductive path through contact between particles such as carbon nano tubes, silver nanowires or silver microparticles. In the present work, we explore the feasibility and performance of MR detection with conductive elastomer coils. Evaluation is performed in terms of Q, SNR and in-vivo imaging. The results indicate that MR receive coils made from conductive elastomer provide good stretchability, adequate electrical performance and promise workflow enhancements as such a coil could even be washed.

Introduction

For many uses of MRI it is desirable to adapt the size and shape of RF coils to each patient’s individual anatomy. To varying degrees, this can be achieved with rigid-adjustable1-3 and flexible4-12 designs. However, for true size adjustment and towards wearable designs, RF coils should additionally be stretchable. Stretchability has been implemented based on conductor length reserve using braided13 or meandering14 copper or conductive thread15,16. A more recent alternative is the use of liquid metal conductors. To form a coil, liquid metal can be printed onto a substrate17 or contained in a stretchable tube18, which simplifies sealing and removes the need for external restoring forces.
All of these solutions rely on a continuous metal phase, either solid or liquid, for conduction. Conductive polymers, in contrast, form conductive paths through contact between particles such as carbon nanotubes19-21, silver nanowires22,23 or silver microparticles24 embedded in an elastic polymer matrix25-27. According to percolation theory, above a certain density threshold the randomly distributed particles form a continuous electrical connection and thus render the elastomer conductive28.
Conductive elastomers are an attractive alternative for wearable coil design. While sharing the advantages of liquid-metal tubes they obviate the issue of potential leakage. The dry, inert material would simplify manufacturing and could even permit washable designs. However, the conductivity reached with elastomers is still relatively low by the standards of MRI detection.
Given these promises and potential limitation, in the present work we explore the feasibility and performance of MR detection with conductive elastomer coils.

Methods

Conductive Elastomer
Filaments of a conductive elastomer based on silver microparticles (nanoleq AG, Zurich, Switzerland) were sourced at a diameter of 2 mm. The material is cut to the length of the coil segment and a solderable contact formed by crimping. Heat shrink tubing is applied (Fig.1). The manufacturer specifies the material to be corrosion resistant, heat and cold resistant and washable. The volume resistivity of the material is specified as ρElastomer = 7*10-6 Ωm. At DC this is a factor 417 higher than the resistivity of copper ρCopper = 1.68*10-8 Ωm. At 128 MHz, however, the skin depth of the elastomer δElastomer = 117.7 μm is a factor of ≈20 larger than of copper δCopper = 5.8 μm. For two conductors of the same length l and diameter d (d>2*δElastomer) this results in a resistance that is only ≈20 times larger for the elastomer conductor than for copper, despite the extreme difference in resistivity4.
Wearable Array Construction
Two layers of common highly elastic athletic pants were sewn onto each other following a pattern that forms stretchable casings that allow insertion of four coil elements in between the two layers (Fig.4). The sewing pattern ensures approximate geometric decoupling which is complemented by preamplifier decoupling. The high-Z preamplifiers with low correlation resistance offer low noise figure at variable loading and π-matching networks accommodate frequency shifts upon stretching1.
Imaging
Images were obtained on a Philips 3T Ingenia system. SNR maps were calculated1 from phantom images obtained with an elastomer coil and a copper coil for comparison, both based on conductors of 2 mm diameter (Fig.3). In-vivo images of a healthy volunteer's knee were acquired at 3 different flexion angles (Fig.4) and in a dynamic study with continuous flexion (Fig.5).

Results

The coils' unloaded Q was assessed at 61 before its first strain (Fig.2). Upon strain the coils' Q converges to its final value within ≈ 7 strain cycles. Depending on the maximum strain applied to the conductive elastomer coil the final Q reaches values of 56 and 44 for a maximum repetitive strain of 20% or 40%, respectively. A Qunloaded/Qloaded ≈ 6 is observed by loading with a volunteer’s thigh – sufficient for SNR efficient detection. The SNR in the center of a loading phantom was assessed to be 14% lower for the conductive elastomer coil compared to the copper reference coil, as expected due to the elastomer’s lower conductivity (Fig.3). In-vivo knee images, static (Fig.4) and dynamic (Fig.5), confirm sensitivity and coverage at different flexion angles and when flexed continuously.

Discussion

The results of this study indicate that conductive elastomer is in fact a viable material for stretchable MR receive arrays and enables high-quality imaging. The favorable properties of elastomers come at an expense in terms of volume conductivity, which, however, is intrinsically mitigated by concomitant increase in skin depth. Upon repeated stretching by 20%, medium-size coil elements settled at an unloaded Q of approximately 40, which is still well above typical loaded Q at 3T and thus entails only a moderate SNR drawback. When necessary, a natural way of increasing the unloaded Q is to increase the conductor diameter, which was moderate here at 2 mm. Conductive elastomer poses no risk of leakage and is lightweight, easy to handle, and can readily be subject to washing and sanitization. These features make the material very attractive for wearable detection setups in conjunction with on-coil digitization and wireless transmission29–34.

Acknowledgements


References

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Figures

Figure 1: Conductive elastomer is obtained in the form of filaments. a) Filaments can be cut to length and electrical contact is formed by crimping. Heat shrink tube is applied. b) The resulting coil is very flexible and stretchable. (Animated GIF can be viewed in the HTML-based abstract)

Figure 2: a) A laser-cut PMMA strain setup as previously used in Ref. 18 is employed for radial stretching of coils from 0 to 40%. b) The coils’ unloaded Q was assessed to be 61 before any strain occurred. Upon strain the coils' Q converges to a value lower than before primary strain within ≈ 7 cycles of strain. Depending on the maximum strain applied to the conductive elastomer coil the resulting Q is lower, reaching values of 56 and 44 for a maximum repetitive strain of 20% or 40%, respectively.

Figure 3: SNR maps were derived from phantom imaging with a copper (Qunloaded = 439) and conductive elastomer (Qunloaded = 76) coil, each with a conductor diameter of 2 mm (Gradient echo sequence: TR 30 ms, TE 4.8 ms, FA 30°, 1x1x5 mm3, 1 slice). The SNR in the center of the loading phantom (770 mg/L CuSO4*5(H2O), 2000 mg/L NaCl) was assessed to be 14% lower for the conductive elastomer coil compared to the copper reference coil, as expected due to the elastomer’s lower conductivity.

Figure 4: Two layers of athletic pants were sewn onto each other following a pattern that allows insertion of the four individual conductive elastomer coil elements. The array was tuned and matched for the straight knee position only. No further adjustments were made for the different flexion angles. In-vivo images of a volunteer’s knee at three different flexion angles were acquired (Gradient echo sequence: TR 500 ms, TE 5.8 ms, FA 30°, 0.7x0.7x3 mm3, scan duration 4:27 min). A B0 artifact is noticeable on the upper side of the thigh due to a ferromagnetic component in the coil connectors.

Figure 5: Dynamic in-vivo images of a volunteer’s knee were acquired with an SPGR sequence (TR 7.8 ms, TE 3.8 ms, FA 7°, 1x1x5 mm3, 1 slice, 30 dynamics, scan duration 1:08 min ). Tuning and matching was performed only for the straight starting position of the knee. No further adjustments were made for flexion. The knee was continuously moved during image acquisition. (Animated GIF can be viewed in the HTML-based abstract)

Proc. Intl. Soc. Mag. Reson. Med. 28 (2020)
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