Literature DB >> 22149844

Modeling of radio-frequency induced currents on lead wires during MR imaging using a modified transmission line method.

Volkan Acikel1, Ergin Atalar.   

Abstract

PURPOSE: Metallic implants may cause serious tissue heating during magnetic resonance (MR) imaging. This heating occurs due to the induced currents caused by the radio-frequency (RF) field. Much work has been done to date to understand the relationship between the RF field and the induced currents. Most of these studies, however, were based purely on experimental or numerical methods. This study has three main purposes: (1) to define the RF heating properties of an implant lead using two parameters; (2) to develop an analytical formulation that directly explains the relationship between RF fields and induced currents; and (3) to form a basis for analysis of complex cases.
METHODS: In this study, a lumped element model of the transmission line was modified to model leads of implants inside the body. Using this model, leads are defined using two parameters: impedance per unit length, Z, and effective wavenumber along the lead, k(t). These two parameters were obtained by using methods that are similar to the transmission line theory. As long as these parameters are known for a lead, currents induced in the lead can be obtained no matter how complex the lead geometry is. The currents induced in bare wire, lossy wire, and insulated wire were calculated using this new method which is called the modified transmission line method or MoTLiM. First, the calculated induced currents under uniform electric field distribution were solved and compared with method-of-moments (MoM) calculations. In addition, MoTLiM results were compared with those of phantom experiments. For experimental verification, the flip angle distortion due to the induced currents was used. The flip angle distribution around a wire was both measured by using flip angle imaging methods and calculated using current distribution obtained from the MoTLiM. Finally, these results were compared and an error analysis was carried out.
RESULTS: Bare perfect electric, bare lossy, and insulated perfect electric conductor wires under uniform and linearly varying electric field exposure were solved, both for 1.5 T and 3 T scanners, using both the MoTLiM and MoM. The results are in agreement within 10% mean-square error. The flip angle distribution that was obtained from experiments was compared along the azimuthal paths with different distances from the wire. The highest mean-square error was 20% among compared cases.
CONCLUSIONS: A novel method was developed to define the RF heating properties of implant leads with two parameters and analyze the induced currents on implant leads that are exposed to electromagnetic fields in a lossy medium during a magnetic resonance imaging (MRI) scan. Some simple cases are examined to explain the MoTLiM and a basis is formed for the analysis of complex cases. The method presented shows the direct relationship between the incident RF field and the induced currents. In addition, the MoTLiM reveals the RF heating properties of the implant leads in terms of the physical features of the lead and electrical properties of the medium.

Mesh:

Year:  2011        PMID: 22149844     DOI: 10.1118/1.3662865

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  8 in total

1.  MRI Conditional Actively Tracked Metallic Electrophysiology Catheters and Guidewires With Miniature Tethered Radio-Frequency Traps: Theory, Design, and Validation.

Authors:  Akbar Alipour; Eric S Meyer; Charles L Dumoulin; Ronald D Watkins; Hassan Elahi; Wolfgang Loew; Jeffrey Schweitzer; Gregory Olson; Yue Chen; Susumu Tao; Michael Guttman; Aravindan Kolandaivelu; Henry R Halperin; Ehud J Schmidt
Journal:  IEEE Trans Biomed Eng       Date:  2019-09-13       Impact factor: 4.538

2.  Parallel transmission to reduce absorbed power around deep brain stimulation devices in MRI: Impact of number and arrangement of transmit channels.

Authors:  Bastien Guerin; Leonardo M Angelone; Darin Dougherty; Lawrence L Wald
Journal:  Magn Reson Med       Date:  2019-08-07       Impact factor: 4.668

3.  Realistic modeling of deep brain stimulation implants for electromagnetic MRI safety studies.

Authors:  Bastien Guerin; Peter Serano; Maria Ida Iacono; Todd M Herrington; Alik S Widge; Darin D Dougherty; Giorgio Bonmassar; Leonardo M Angelone; Lawrence L Wald
Journal:  Phys Med Biol       Date:  2018-05-04       Impact factor: 3.609

4.  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

5.  MRI-based, wireless determination of the transfer function of a linear implant: Introduction of the transfer matrix.

Authors:  Janot P Tokaya; Alexander J E Raaijmakers; Peter R Luijten; Cornelis A T van den Berg
Journal:  Magn Reson Med       Date:  2018-04-24       Impact factor: 4.668

6.  BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary study.

Authors:  Tiao Chen; Yue Zhao; Chuntao Jia; Zilong Yuan; Jianfeng Qiu
Journal:  Med Biol Eng Comput       Date:  2020-02-08       Impact factor: 2.602

7.  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

8.  Investigation of Parallel Radiofrequency Transmission for the Reduction of Heating in Long Conductive Leads in 3 Tesla Magnetic Resonance Imaging.

Authors:  Clare E McElcheran; Benson Yang; Kevan J T Anderson; Laleh Golenstani-Rad; Simon J Graham
Journal:  PLoS One       Date:  2015-08-03       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.