MR safety assessment of active implantable medical devices

Radiologe. 2019 Dec;59(Suppl 1):40-45. doi: 10.1007/s00117-019-0541-6.

Abstract

Background: Increasing numbers of patients with active implantable medical devices (AIMDs) require magnetic resonance (MR) examinations. The manufacturers are continuing to improve the MR compatibility of their AIMDs. To this end, a variety of measurement methods and numerical simulations are used to evaluate the risks associated with magnetic resonance imaging (MRI).

Objective: In this article, test methods used to investigate interactions between AIMDs with radio frequency fields and time-varying magnetic gradient fields are reviewed.

Materials and methods: A literature review of known test methods for radio frequency and gradient field exposure of AIMDs with leads, in particular for neurostimulators, cochlear implants, and implanted infusion pumps, is presented. The state of the art and promising methods are discussed.

Results: ISO/TS 10974 describes the design of high frequency and gradient injection setups to test conductive materials. A large number of sensor designs have been published to measure the induced voltages and currents through radio frequency and gradient fields and for monitoring AIMDs during MR examinations in in vitro tests.

Conclusion: The test methods should be planned to be as conservative as possible to cover the worst case scenario. However, in vitro measurements and computer simulation are far from being able to cover all possible configurations in their complexity and uniqueness. For safer MR examinations, current research recommends in vivo testing prior to MR, parallel radiofrequency transmission techniques, and new sequences with reduced energy input in the presence of AIMDs.

Keywords: Compatibility; Heating; Magnetic resonance imaging; Malfunction; Rectification.

Publication types

  • Review

MeSH terms

  • Cochlear Implants
  • Computer Simulation
  • Humans
  • Magnetic Fields
  • Magnetic Resonance Imaging / methods*
  • Pacemaker, Artificial
  • Patient Safety
  • Prostheses and Implants*
  • Radio Waves
  • Signal Processing, Computer-Assisted