A fast tool for the parametric analysis of human body exposed to LF electromagnetic fields in biomedical applications

Torchio, Riccardo; Arduino, Alessandro; Zilberti, Luca; Bottauscio, O.

doi:10.1016/j.cmpb.2021.106543

Cited by 9 publications

(5 citation statements)

References 60 publications

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“…To perform the electromagnetic simulations, a recently developed computational approach was adopted 34 . This approach belongs to the family of integral formulation methods, which have been used and validated for many large‐scale electromagnetic problems in both biomedical 35 and nonbiomedical 36 applications.…”

Section: Methodsmentioning

confidence: 99%

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Orthopedic implants affect the electric field induced by switching gradients in MRI

Zilberti,

Arduino,

Torchio

et al. 2023

Magnetic Resonance in Med

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PurposeTo investigate whether the risk of peripheral nerve stimulation increases in the presence of bulky metallic prostheses implanted in a patient's body.MethodsA computational tool was used to calculate the electric field (E‐field) induced in a realistic human model due to the action of gradient fields. The calculations were performed both on the original version of the anatomical model and on a version modified through “virtual surgery” to incorporate knee, hip, and shoulder prostheses. Five exam positions within a body gradient coil and one position using a head gradient coil were simulated, subjecting the human model to the readout gradient from an EPI sequence. The induced E‐field in models with and without prostheses was compared, focusing on the nerves and all other tissues (both including and excluding the bones from the analysis).ResultsIn the nerves, the most pronounced increase in the E‐field (+24%) was observed around the knee implant during an abdominal MRI (Y axis readout). When extending the analysis to encompass all tissues (excluding bones), the greatest amplification (+360%) occurred around the knee implant during pelvic MRI (Z axis readout). Notable increases in E‐field peaks were also identified around the shoulder and hip implants in multiple scenarios.ConclusionBased on the presented results, further investigations aimed at quantifying the threshold of nerve stimulation in the presence of bulky implants are desirable.

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Section: Methodsmentioning

confidence: 99%

“…To perform the electromagnetic simulations, a recently developed computational approach was adopted. 34 This…”

Section: Computational Approachmentioning

confidence: 99%

Orthopedic implants affect the electric field induced by switching gradients in MRI

Zilberti,

Arduino,

Torchio

et al. 2023

Magnetic Resonance in Med

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“…The high number of degrees of freedom (DoFs) required to develop accurate models, together with the high number of frequency evaluations, typically of the order of 10 2 , needed to properly describe the frequency behavior, can be difficult to be handled from the computational point of view. To solve this problem, parametric model order reduction (pMOR) techniques can be adopted to speed up the calculation [10], reducing the required solutions of the system to a few units. The use of the pMOR approach allows for significantly reducing the computational complexity while substantially keeping the accuracy of the original solver.…”

Section: A Peec Model Of the Probementioning

confidence: 99%

Numerical Calculation of Pick-Up Coils Frequency Response as a Useful Tool for Local Magnetic Field Sensors Design

Marconato

Bonotto

2022

IEEE Trans. Plasma Sci.

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The aim of this article is to present a useful numerical procedure suitable to accurately model pick-up probes for design-oriented purposes, reducing the required prototyping activity and allowing more accurate results with respect to analytic estimations, taking into account both inductive and capacitive effects in complex geometries. The proposed methodology is characterized by the following steps: 1) a partial element equivalent circuit (PEEC) formulation, speeded up by a parametric model order reduction (pMOR) technique, is used to efficiently model the probe in the frequency domain taking into account both inductive and capacitive effects; 2) a nonlinear least-squares solver is used to identify an equivalent RLC network describing the full behavior of the probe up to the first resonance frequency; and 3) a circuital model, considering the probe, the transmission line (TL), and the terminating impedance, is used to estimate the bandwidth of the complete system from the probe to the acquisition system. The experimental validation of the proposed method against the RFX-mod2 three-axis pick-up probe prototype is also presented, together with the application to the design of the magnetic sensors for the new Divertor tokamak test (DTT) facility.

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“…With the arrival of the 5G electronic information age, the use of civil electromagnetic wave equipment has skyrocketed, resulting in widespread electromagnetic wave pollution, which may affect the precision of instruments and even cause human cancer. 1,2 Therefore, it is necessary to develop electromagnetic interference shielding 3–6 and absorbing materials to solve the pollution problem. For practical applications, the materials should have strong absorption, a wide absorption band, small thickness, and light weight.…”

Section: Introductionmentioning

confidence: 99%

Ultra-thin Ni@nitrogen-doped polyaniline-derived carbon composites with broadband electromagnetic wave absorption

Wang,

Xian,

et al. 2023

New J. Chem.

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A fast tool for the parametric analysis of human body exposed to LF electromagnetic fields in biomedical applications

Cited by 9 publications

References 60 publications

Orthopedic implants affect the electric field induced by switching gradients in MRI

Orthopedic implants affect the electric field induced by switching gradients in MRI

Numerical Calculation of Pick-Up Coils Frequency Response as a Useful Tool for Local Magnetic Field Sensors Design

Ultra-thin Ni@nitrogen-doped polyaniline-derived carbon composites with broadband electromagnetic wave absorption

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