Literature DB >> 28011252

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

Laleh Golestanirad1, Maria Ida Iacono2, Boris Keil3, Leonardo M Angelone2, Giorgio Bonmassar4, Michael D Fox5, Todd Herrington6, Elfar Adalsteinsson7, Cristen LaPierre8, Azma Mareyam8, Lawrence L Wald4.   

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 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.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  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)

Mesh:

Year:  2016        PMID: 28011252      PMCID: PMC5303648          DOI: 10.1016/j.neuroimage.2016.12.056

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  46 in total

1.  Implantable spinal fusion stimulator: assessment of MR safety and artifacts.

Authors:  F G Shellock; M Hatfield; B J Simon; S Block; J Wamboldt; P M Starewicz; W F Punchard
Journal:  J Magn Reson Imaging       Date:  2000-08       Impact factor: 4.813

2.  Deep brain stimulation for Parkinson's disease: surgical technique and perioperative management.

Authors:  Andre Machado; Ali R Rezai; Brian H Kopell; Robert E Gross; Ashwini D Sharan; Alim-Louis Benabid
Journal:  Mov Disord       Date:  2006-06       Impact factor: 10.338

3.  Bio-heat transfer model of deep brain stimulation-induced temperature changes.

Authors:  Maged M Elwassif; Qingjun Kong; Maribel Vazquez; Marom Bikson
Journal:  J Neural Eng       Date:  2006-11-06       Impact factor: 5.379

4.  Safety of MRI in patients with implanted deep brain stimulation devices.

Authors:  Michele Tagliati; Joseph Jankovic; Fernando Pagan; Frandy Susatia; Ioannis U Isaias; Michael S Okun
Journal:  Neuroimage       Date:  2009-04-17       Impact factor: 6.556

5.  Magnetic resonance imaging of implanted deep brain stimulators: experience in a large series.

Authors:  Paul S Larson; R Mark Richardson; Philip A Starr; Alastair J Martin
Journal:  Stereotact Funct Neurosurg       Date:  2007-12-12       Impact factor: 1.875

6.  Reduction of implant RF heating through modification of transmit coil electric field.

Authors:  Yigitcan Eryaman; Burak Akin; Ergin Atalar
Journal:  Magn Reson Med       Date:  2010-12-08       Impact factor: 4.668

7.  Temperature control at DBS electrodes using a heat sink: experimentally validated FEM model of DBS lead architecture.

Authors:  Maged M Elwassif; Abhishek Datta; Asif Rahman; Marom Bikson
Journal:  J Neural Eng       Date:  2012-07-04       Impact factor: 5.379

8.  Evaluation of specific absorption rate as a dosimeter of MRI-related implant heating.

Authors:  Kenneth B Baker; Jean A Tkach; John A Nyenhuis; Michael Phillips; Frank G Shellock; Jorge Gonzalez-Martinez; Ali R Rezai
Journal:  J Magn Reson Imaging       Date:  2004-08       Impact factor: 4.813

9.  A novel brain stimulation technology provides compatibility with MRI.

Authors:  Peter Serano; Leonardo M Angelone; Husam Katnani; Emad Eskandar; Giorgio Bonmassar
Journal:  Sci Rep       Date:  2015-04-29       Impact factor: 4.379

10.  Complexity of MRI induced heating on metallic leads: experimental measurements of 374 configurations.

Authors:  Eugenio Mattei; Michele Triventi; Giovanni Calcagnini; Federica Censi; Wolfgang Kainz; Gonzalo Mendoza; Howard I Bassen; Pietro Bartolini
Journal:  Biomed Eng Online       Date:  2008-03-03       Impact factor: 2.819

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  17 in total

1.  Reducing RF-induced Heating near Implanted Leads through High-Dielectric Capacitive Bleeding of Current (CBLOC).

Authors:  Laleh Golestanirad; Leonardo M Angelone; John Kirsch; Sean Downs; Boris Keil; Giorgio Bonmassar; Lawrence L Wald
Journal:  IEEE Trans Microw Theory Tech       Date:  2019-01-01       Impact factor: 3.599

Review 2.  Improving Safety of MRI in Patients with Deep Brain Stimulation Devices.

Authors:  Alexandre Boutet; Clement T Chow; Keshav Narang; Gavin J B Elias; Clemens Neudorfer; Jürgen Germann; Manish Ranjan; Aaron Loh; Alastair J Martin; Walter Kucharczyk; Christopher J Steele; Ileana Hancu; Ali R Rezai; Andres M Lozano
Journal:  Radiology       Date:  2020-06-23       Impact factor: 11.105

3.  Reconfigurable MRI technology for low-SAR imaging of deep brain stimulation at 3T: Application in bilateral leads, fully-implanted systems, and surgically modified lead trajectories.

Authors:  Ehsan Kazemivalipour; Boris Keil; Alireza Vali; Sunder Rajan; Behzad Elahi; Ergin Atalar; Lawrence L Wald; Joshua Rosenow; Julie Pilitsis; Laleh Golestanirad
Journal:  Neuroimage       Date:  2019-05-13       Impact factor: 6.556

4.  The effect of simulation strategies on prediction of power deposition in the tissue around electronic implants during magnetic resonance imaging.

Authors:  Bach T Nguyen; Julie Pilitsis; Laleh Golestanirad
Journal:  Phys Med Biol       Date:  2020-09-16       Impact factor: 3.609

5.  A simple geometric analysis method for measuring and mitigating RF induced currents on Deep Brain Stimulation leads by multichannel transmission/reception.

Authors:  Yigitcan Eryaman; Naoharu Kobayashi; Sean Moen; Joshua Aman; Andrea Grant; J Thomas Vaughan; Gregory Molnar; Michael C Park; Jerrold Vitek; Gregor Adriany; Kamil Ugurbil; Noam Harel
Journal:  Neuroimage       Date:  2018-09-28       Impact factor: 6.556

6.  Towards Estimating the Uncertainty Associated with Three-Dimensional Geometry Reconstructed from Medical Image Data.

Authors:  Marc Horner; Stephen M Luke; Kerim O Genc; Todd M Pietila; Ross T Cotton; Benjamin A Ache; Zachary H Levine; Kevin C Townsend
Journal:  J Verif Valid Uncertain Quantif       Date:  2019

7.  Evaluation of RF interactions between a 3T birdcage transmit coil and transcranial magnetic stimulation coils using a realistically shaped head phantom.

Authors:  Lucia I Navarro de Lara; Laleh Golestanirad; Sergey N Makarov; Jason P Stockmann; Lawrence L Wald; Aapo Nummenmaa
Journal:  Magn Reson Med       Date:  2020-01-23       Impact factor: 4.668

8.  Changes in the specific absorption rate (SAR) of radiofrequency energy in patients with retained cardiac leads during MRI at 1.5T and 3T.

Authors:  Laleh Golestanirad; Amir Ali Rahsepar; John E Kirsch; Kenichiro Suwa; Jeremy C Collins; Leonardo M Angelone; Boris Keil; Rod S Passman; Giorgio Bonmassar; Peter Serano; Peter Krenz; Jim DeLap; James C Carr; Lawrence L Wald
Journal:  Magn Reson Med       Date:  2018-06-12       Impact factor: 4.668

9.  RF heating of deep brain stimulation implants in open-bore vertical MRI systems: A simulation study with realistic device configurations.

Authors:  Laleh Golestanirad; Ehsan Kazemivalipour; David Lampman; Hideta Habara; Ergin Atalar; Joshua Rosenow; Julie Pilitsis; John Kirsch
Journal:  Magn Reson Med       Date:  2019-11-02       Impact factor: 4.668

10.  Patient's body composition can significantly affect RF power deposition in the tissue around DBS implants: ramifications for lead management strategies and MRI field-shaping techniques.

Authors:  Bhumi Bhusal; Boris Keil; Joshua Rosenow; Ehsan Kazemivalipour; Laleh Golestanirad
Journal:  Phys Med Biol       Date:  2021-01-14       Impact factor: 3.609

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