Construction and modeling of a reconfigurable MRI coil for lowering SAR in patients with deep brain stimulation implants

Laleh Golestanirad*, Boris Keil, Giorgio Bonmassar, Elfar Adalsteinsson, Cristen LaPierre, Azma Mareyam, Lawrence L. Wald

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

46 Scopus citations


Post-operative MRI of patients with deep brain simulation (DBS) implants is useful to assess complications and diagnose comorbidities, however more than one third of medical centers do not perform MRIs on this patient population due to stringent safety restrictions and liability risks. A new system of reconfigurable magnetic resonance imaging head coil composed of a rotatable linearly-polarized birdcage transmitter and a close-fitting 32-channel receive array is presented for low-SAR imaging of patients with DBS implants. The novel system works by generating a region with low electric field magnitude and steering it to coincide with the DBS lead trajectory. We demonstrate that the new coil system substantially reduces the SAR amplification around DBS electrodes compared to commercially available circularly polarized coils in a cohort of 9 patient-derived realistic DBS lead trajectories. We also show that the optimal coil configuration can be reliably identified from the image artifact on B1+ field maps. Our preliminary results suggest that such a system may provide a viable solution for high-resolution imaging of DBS patients in the future. More data is needed to quantify safety limits and recommend imaging protocols before the novel coil system can be used on patients with DBS implants.

Original languageEnglish (US)
Pages (from-to)577-588
Number of pages12
StatePublished - Feb 15 2017


  • Deep brain stimulation (DBS)
  • Finite element method (FEM)
  • Magnetic resonance imaging (MRI)
  • Medical implants
  • Neurostimulation
  • Parkinson's disease
  • RF heating
  • Safety
  • Specific absorption rate (SAR)

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience


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