Literature DB >> 33961301

Vertical open-bore MRI scanners generate significantly less radiofrequency heating around implanted leads: A study of deep brain stimulation implants in 1.2T OASIS scanners versus 1.5T horizontal systems.

Ehsan Kazemivalipour1,2,3, Bhumi Bhusal1, Jasmine Vu1,4, Stella Lin1, Bach Thanh Nguyen1, John Kirsch5, Elizabeth Nowac6, Julie Pilitsis7, Joshua Rosenow8, Ergin Atalar2,3, Laleh Golestanirad1,4.   

Abstract

PURPOSE: Patients with active implants such as deep brain stimulation (DBS) devices are often denied access to MRI due to safety concerns associated with the radiofrequency (RF) heating of their electrodes. The majority of studies on RF heating of conductive implants have been performed in horizontal close-bore MRI scanners. Vertical MRI scanners which have a 90° rotated transmit coil generate fundamentally different electric and magnetic field distributions, yet very little is known about RF heating of implants in this class of scanners. We performed numerical simulations as well as phantom experiments to compare RF heating of DBS implants in a 1.2T vertical scanner (OASIS, Hitachi) compared to a 1.5T horizontal scanner (Aera, Siemens).
METHODS: Simulations were performed on 90 lead models created from post-operative CT images of patients with DBS implants. Experiments were performed with wires and commercial DBS devices implanted in an anthropomorphic phantom.
RESULTS: We found significant reduction of 0.1 g-averaged specific absorption rate (30-fold, P < 1 × 10-5 ) and RF heating (9-fold, P < .026) in the 1.2T vertical scanner compared to the 1.5T conventional scanner.
CONCLUSION: Vertical MRI scanners appear to generate lower RF heating around DBS leads, providing potentially heightened safety or the flexibility to use sequences with higher power levels than on conventional systems.
© 2021 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MR-guided neurosurgery; MRI safety; RF heating; deep brain stimulation; finite element method; medical implants; open-bore vertical MRI

Mesh:

Year:  2021        PMID: 33961301      PMCID: PMC8713475          DOI: 10.1002/mrm.28818

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   3.737


  47 in total

1.  RF heating due to conductive wires during MRI depends on the phase distribution of the transmit field.

Authors:  Christopher J Yeung; Robert C Susil; Ergin Atalar
Journal:  Magn Reson Med       Date:  2002-12       Impact factor: 4.668

2.  Intraoperative MRI for optimizing electrode placement for deep brain stimulation of the subthalamic nucleus in Parkinson disease.

Authors:  Zhiqiang Cui; Longsheng Pan; Huifang Song; Xin Xu; Bainan Xu; Xinguang Yu; Zhipei Ling
Journal:  J Neurosurg       Date:  2015-08-14       Impact factor: 5.115

3.  Parallel radiofrequency transmission at 3 tesla to improve safety in bilateral implanted wires in a heterogeneous model.

Authors:  Clare E McElcheran; Benson Yang; Kevan J T Anderson; Laleh Golestanirad; Simon J Graham
Journal:  Magn Reson Med       Date:  2017-02-28       Impact factor: 4.668

4.  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

5.  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

6.  Local specific absorption rate in high-pass birdcage and transverse electromagnetic body coils for multiple human body models in clinical landmark positions at 3T.

Authors:  Desmond T B Yeo; Zhangwei Wang; Wolfgang Loew; Mika W Vogel; Ileana Hancu
Journal:  J Magn Reson Imaging       Date:  2011-05       Impact factor: 4.813

7.  Impact of imaging landmark on the risk of MRI-related heating near implanted medical devices like cardiac pacemaker leads.

Authors:  Peter Nordbeck; Oliver Ritter; Ingo Weiss; Marcus Warmuth; Daniel Gensler; Natalie Burkard; Volker Herold; Peter M Jakob; Georg Ertl; Mark E Ladd; Harald H Quick; Wolfgang R Bauer
Journal:  Magn Reson Med       Date:  2011-01       Impact factor: 4.668

8.  Functional MRI Safety and Artifacts during Deep Brain Stimulation: Experience in 102 Patients.

Authors:  Alexandre Boutet; Tanweer Rashid; Ileana Hancu; Gavin J B Elias; Robert M Gramer; Jürgen Germann; Marisa Dimarzio; Bryan Li; Vijayashankar Paramanandam; Sreeram Prasad; Manish Ranjan; Ailish Coblentz; Dave Gwun; Clement T Chow; Ricardo Maciel; Derrick Soh; Eric Fiveland; Mojgan Hodaie; Suneil K Kalia; Alfonso Fasano; Walter Kucharczyk; Julie Pilitsis; Andres M Lozano
Journal:  Radiology       Date:  2019-08-06       Impact factor: 11.105

9.  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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  3 in total

1.  Machine learning-based prediction of MRI-induced power absorption in the tissue in patients with simplified deep brain stimulation lead models.

Authors:  Jasmine Vu; Bach T Nguyen; Bhumi Bhusal; Justin Baraboo; Joshua Rosenow; Ulas Bagci; Molly G Bright; Laleh Golestanirad
Journal:  IEEE Trans Electromagn Compat       Date:  2021-09-30       Impact factor: 2.036

Review 2.  Intraoperative MR Imaging during Glioma Resection.

Authors:  Mitsunori Matsumae; Jun Nishiyama; Kagayaki Kuroda
Journal:  Magn Reson Med Sci       Date:  2021-12-09       Impact factor: 2.760

3.  A workflow for predicting temperature increase at the electrical contacts of deep brain stimulation electrodes undergoing MRI.

Authors:  Alireza Sadeghi-Tarakameh; Nur Izzati Huda Zulkarnain; Xiaoxuan He; Ergin Atalar; Noam Harel; Yigitcan Eryaman
Journal:  Magn Reson Med       Date:  2022-07-04       Impact factor: 3.737

  3 in total

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