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Elastomer coils for wearable MR detection.

Andreas Port1, Roger Luechinger1, David O Brunner1

  • 1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Magnetic Resonance in Medicine
|January 12, 2021
PubMed
Summary
This summary is machine-generated.

Conductive elastomer coils are a viable option for magnetic resonance (MR) signal detection. These stretchable coils offer robust performance for wearable MR detector arrays, particularly for kinematic imaging applications.

Keywords:
conductive elastomerknee imagingwearable array

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Area of Science:

  • Materials Science
  • Biomedical Engineering
  • Radiology

Background:

  • Magnetic Resonance (MR) imaging requires sensitive radiofrequency (RF) coils for signal detection.
  • Developing flexible and wearable RF coils is crucial for advanced imaging techniques like kinematic and multi-angle imaging.

Purpose of the Study:

  • To investigate the use of conductive elastomer as a material for MR signal detection.
  • To evaluate the utility of conductive elastomer coils for wearable detector arrays.

Main Methods:

  • Stretchable RF coils were fabricated using silver microparticle-filled elastomer.
  • Electrical performance (Q_unloaded, Q ratio) was assessed under strain.
  • Signal-to-noise ratio (SNR) was compared to conventional copper coils.
  • A wearable array of four elastomer coils was developed for knee imaging.

Main Results:

  • Elastomer coils demonstrated high stretchability and mechanical robustness.
  • Coil performance showed a decrease in Q_unloaded from 42 to 32 with 20% strain.
  • SNR was 8-16% lower than copper coils, indicating sample-noise dominance.
  • High-quality kinematic and multi-angle knee imaging was achieved in vivo.

Conclusions:

  • Conductive elastomer is a suitable material for MR detection coils.
  • Elastomer coils offer a balance of stretchability, adequate electrical performance, and ease of manufacturing.
  • Their inherent properties make them ideal for wearable MR detector front-ends.