Construction and modeling of a reconfigurable MRI coil for lowering SAR in patients with deep brain stimulation implants
Name
nihms-840340.pdf
Description
Accepted version
Size
1.95 MB
Format
Adobe PDF
Checksum (MD5)
e389d402015e052e1c3c5a9cb05c19f8
Author(s)
Golestanirad, Laleh
Iacono, Maria Ida
Keil, Boris
Angelone, Leonardo M.
Bonmassar, Giorgio
Fox, Michael D.
Herrington, Todd
Adalsteinsson, Elfar
LaPierre, Cristen
Mareyam, Azma
Date Issued
February 2017
Journal
NeuroImage
Publisher
Elsevier BV
Citation
Golestanirad, Laleh et al. "Construction and modeling of a reconfigurable MRI coil for lowering SAR in patients with deep brain stimulation implants." NeuroImage 147 (February 2017): 577-588 © 2016 Elsevier Inc
Version
Author's final manuscript
Abstract
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 B 1+ 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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.neuroimage.2016.12.056
