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Design of Mechanical Durable TMS Coils for Safe Operation in High-Field MRI Environments

  • University of Cádiz
  • University of Granada

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Objective: Interleaving transcranial magnetic stimulation with magnetic resonance imaging (TMS–MRI) is a promising tool for neuroscience. However, its development is limited by the strong interactions between the TMS current pulse and the high magnetic field present within the MRI environment. The objective of this study is to develop methodologies for designing TMS coils that can operate safely inside MRI scanners. Methods: By using an inverse boundary element method design framework, we study the effects of controlling different norms of the Lorentz force in the design process to produce more durable TMS coils. We apply this method to design rodent–specific TMS coils capable of withstanding the high static magnetic fields present in small animal MRI scanners. The performance of the proposed TMS coils is validated under realistic simulations using practical coil plate materials and pulses in the COMSOL Multiphysics software. Results: The numerical simulations indicate that minimising the maximum magnitude ($l^{\infty}$ norm) of the Lorentz force distribution produces TMS coils with improved mechanical behaviour when operating within an MRI environment. Significance: The proposed design strategy offers an effective solution for producing TMS coils with enhanced mechanical durability. This improvement may be particularly valuable to address the current challenges faced in interleaved TMS–MRI applications.
Original languageEnglish
Article number11367254
Pages (from-to)170-178
Number of pages9
JournalIEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology
Volume10
Issue number1
Early online date28 Jan 2026
DOIs
Publication statusPublished - Mar 2026
MoE publication typeA1 Journal article-refereed

Funding

The work of Jose A. Vílchez Membrilla and Víctor Salas Moreno was supported in part by Erasmus+ Grant and in part by “Plan Propio UCA” Grant. The work of Victor H. Souza was supported by the Research Council of Finland under Grant 349985. This work was supported in part by “Plan Andaluz de Investigación, Desarrollo e Innovación (PAIDI 2021), Consejería de Universidad, Investigación e Innovación de la Junta de Andalucía”, under Grant ProyExcel-01036 and in part by European Research Council (ERC) through European Union’s Horizon 2020 Research and Innovation Programme (ConnectToBrain) under Grant 810377.

Keywords

  • Brain modeling
  • Coils
  • Electric fields
  • Electromagnetics
  • Lorentz covariance
  • Magnetic fields
  • Magnetic resonance imaging
  • Optimization
  • Performance metrics
  • Stress

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