Literature DB >> 28164362

MRI-based transfer function determination for the assessment of implant safety.

J P Tokaya1, A J E Raaijmakers1,2, P R Luijten3, J F Bakker4, C A T van den Berg1.   

Abstract

PURPOSE: We introduce a new MR-based method to determine the transfer function (TF) for radiofrequency (RF) safety assessment of active implantable medical devices. Transfer functions are implant-specific measures that relate the incident tangential electric field on an (elongated) implant to a scattered electric field at its tip. The proposed method allows for TF determination with a high spatial resolution in relatively fast measurements without requiring dedicated bench setups from MRI images. THEORY AND METHODS: The principle of reciprocity is used in conjunction with the potential to measure currents with MRI to determine TF. Low-flip angle 3D dual gradient echo MRI data are acquired with an implant as transceive antenna, which requires minimal hardware adaptations. The implant-specific TF is determined from the acquired MRI data, with two different postprocessing methods for comparison.
RESULTS: TFs of linear and helical implants can be determined accurately (with a Pearson correlation coefficient R ≥ 0.7 between measurements and simulations, and a difference in field at the tip ΔEtip ≤ 19%) from relatively quick (t < 20 minutes) MRI acquisitions with (several) millimeter spatial resolution.
CONCLUSION: Transfer function determination with MRI for RF safety assessment of implantable medical devices is possible. The proposed MR-based method allows for TF determination in more realistic exposure scenarios and solid media. Magn Reson Med 78:2449-2459, 2017.
© 2017 International Society for Magnetic Resonance in Medicine. © 2017 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  EM simulations; RF heating; active implantable medical device (AIMD); safety; transfer function

Mesh:

Year:  2017        PMID: 28164362     DOI: 10.1002/mrm.26613

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  8 in total

Review 1.  [MR safety assessment of active implanted medical devices. German version].

Authors:  Sarra Aissani; Elmar Laistler; Jacques Felblinger
Journal:  Radiologe       Date:  2019-10       Impact factor: 0.635

Review 2.  MR safety assessment of active implantable medical devices.

Authors:  Sarra Aissani; Elmar Laistler; Jacques Felblinger
Journal:  Radiologe       Date:  2019-12       Impact factor: 0.635

3.  Explaining RF induced current patterns on implantable medical devices during MRI using the transfer matrix.

Authors:  Janot P Tokaya; Cornelis A T van den Berg; Peter R Luijten; Alexander J E Raaijmakers
Journal:  Med Phys       Date:  2020-11-28       Impact factor: 4.071

4.  A 20-gauge active needle design with thin-film printed circuitry for interventional MRI at 0.55T.

Authors:  Dursun Korel Yildirim; Christopher Bruce; Dogangun Uzun; Toby Rogers; Kendall O'Brien; Rajiv Ramasawmy; Adrienne Campbell-Washburn; Daniel A Herzka; Robert J Lederman; Ozgur Kocaturk
Journal:  Magn Reson Med       Date:  2021-04-16       Impact factor: 3.737

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.  MRI-based transfer function determination through the transfer matrix by jointly fitting the incident and scattered B 1 + field.

Authors:  Janot P Tokaya; Alexander J E Raaijmakers; Peter R Luijten; Alessandro Sbrizzi; Cornelis A T van den Berg
Journal:  Magn Reson Med       Date:  2019-10-21       Impact factor: 4.668

7.  A contribution to MRI safety testing related to gradient-induced heating of medical devices.

Authors:  Alessandro Arduino; Oriano Bottauscio; Mario Chiampi; Umberto Zanovello; Luca Zilberti
Journal:  Magn Reson Med       Date:  2022-03-28       Impact factor: 3.737

8.  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 in total

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