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arxiv: 2512.04889 · v2 · pith:HLAEPX6Pnew · submitted 2025-12-04 · ⚛️ physics.med-ph

FENCE: Flexible Electric Noise reduCtion Endo-shield for the Suppression of Electromagnetic Interference in Low-Field MRI

Pith reviewed 2026-05-17 01:36 UTC · model grok-4.3

classification ⚛️ physics.med-ph
keywords low-field MRIelectromagnetic interferenceEMI mitigationRF coilflexible shieldportable MRIcapacitive coupling
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The pith

A flexible shield inside the RF coil blocks capacitive coupling to cut electromagnetic interference in low-field MRI.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper sets out to show that electromagnetic interference in low-field MRI, which normally requires bulky external shields, can be suppressed by blocking capacitive paths from the body to the receive coil. It tests two approaches: segmenting the coil itself and adding a new flexible internal shield called FENCE. Phantom and in-vivo head scans demonstrate that the combination brings interference down to near-background levels while reducing coil quality factor by only 9 percent in phantoms and 18 percent in living subjects. This matters to readers because it preserves the portability and low cost that make low-field systems attractive for wider use. If the approach holds, clearer images become possible in ordinary rooms without sacrificing the practical advantages of these scanners.

Core claim

The central claim is that FENCE, a flexible PCB shield placed inside the RF coil, combined with capacitive segmentation of solenoid coils, blocks capacitive EMI coupling from the body and reduces interference to near-baseline levels. Phantom tests showed significantly better image quality with a 9 percent drop in coil Q factor, matching finite-element predictions. In-vivo head imaging in varied environments confirmed the gains with an approximately 18 percent Q-factor reduction, all while keeping the system portable and retrofittable.

What carries the argument

FENCE, the flexible PCB endo-shield inserted inside the RF coil to interrupt capacitive EMI paths from the subject while leaving inductive MRI signal detection intact.

If this is right

  • Low-field MRI scanners can produce usable images without conventional Faraday-shielded rooms.
  • Existing RF coils can be upgraded by retrofitting the FENCE shield.
  • Imaging performance improves across both controlled and realistic electromagnetic environments.
  • Coil efficiency stays high enough for practical use despite modest Q-factor losses.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same internal-shield principle could be tried on other portable imaging coils that suffer body-coupled noise.
  • Pairing FENCE with active cancellation methods might reduce the remaining interference even further.
  • Direct measurements of coupling paths in new coil geometries would test how general the capacitive mechanism is.

Load-bearing premise

Electromagnetic interference reaches the RF coil mainly through capacitive coupling from the patient's body.

What would settle it

Repeating the phantom experiments with FENCE installed and finding EMI levels remain well above baseline would show the shield does not deliver the claimed suppression.

Figures

Figures reproduced from arXiv: 2512.04889 by Hermann Scharfetter, Julia Pfitzer, Martin Uecker.

Figure 1
Figure 1. Figure 1: Design of FENCE: The basic structure is a segmented cylindrical shield. The slotted structure prevents eddy [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Basic geometry of the magnetic FE model. The segmented shield is placed inside the RF coil. A conductive [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Geometry of the electric FE model for calculating the shielding efficiency. [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: CAD Rendering of one of the FlexPCB segments (FENCE). FENCE can be placed inside RF coils. Each [PITH_FULL_IMAGE:figures/full_fig_p007_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Picture of the phantom coil (a) along with the different shielding implementations: 3D Printed Copper-foil [PITH_FULL_IMAGE:figures/full_fig_p007_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Measurement setup for the determination of the shielding factor. The system was calibrated so as to measure the transmission factor S21. In addition the capacitance C between the body dummy and the coil was measured with an LC-meter (BDM-Electronics, Dessau, Germany). For estimating ξ the voltage at port 2 was calculated as S21 = V2 V1 = Z0 2Z0 − j 1 ωC , (18) (19) with Z0 being the characteristic impedanc… view at source ↗
Figure 7
Figure 7. Figure 7: Experimental setup for phantom measurements: [PITH_FULL_IMAGE:figures/full_fig_p010_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Noise spectrum measurements for different EMI mitigation configurations. [PITH_FULL_IMAGE:figures/full_fig_p012_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Single slice of an MRI phantom measured with 3D-RARE under different shield configurations. SNR [PITH_FULL_IMAGE:figures/full_fig_p013_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Noise spectrum measurements for different EMI mitigation configuration. [PITH_FULL_IMAGE:figures/full_fig_p013_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Proton-density weighted image of a volunteer head. SNR was calculated using four noise ROIs placed [PITH_FULL_IMAGE:figures/full_fig_p014_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: Comparison of FENCE effectiveness across different EMI scenarios. Red arrows highlight subtle image [PITH_FULL_IMAGE:figures/full_fig_p015_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: Measurement setup for the in-vivo measurements. Different EMI sources are highlighted in red. (a) shows [PITH_FULL_IMAGE:figures/full_fig_p019_13.png] view at source ↗
read the original abstract

Electromagnetic interference (EMI) is a significant challenge for low-field MRI systems operating without conventional Faraday-shielded rooms. Traditional EMI mitigation approaches include external shields, subject grounding via electrodes, or active noise cancellation requiring synchronized receive channels. These methods either limit portability, introduce patient discomfort, or demand advanced hardware. In this work, we start from the hypothesis that EMI primarily couples capacitively from the body to the RF coil. We investigated two methods of blocking capacitive coupling while preserving inductive MRI signal detection: First, we employed capacitive segmentation of the RF coil and studied its effect on EMI coupling. Second, we present FENCE (Flexible Electromagnetic Noise reduCtion Endo-shield), a novel approach blocking capacitive coupling using flexible PCB shields placed inside the RF coil. FENCE can be retrofitted to existing RF coils. Finite element (FE) simulations were used to estimate the expected shielding performance and the impact on RF coil losses prior to practical implementation. Testing in various realistic scenarios then demonstrated that the combination of FENCE with segmented solenoid coils is effective against both environmental noise sources and controlled EMI. In phantom experiments, FENCE significantly improved imaging performance and reduced EMI levels to near-baseline levels with 9% reduction in coil quality factor (Q factor), showing good agreement with the predictions from the FE simulations. In-vivo head imaging confirmed these results across diverse electromagnetic environments significantly improving imaging performance while showing an ~18% decrease in Q factor. FENCE provides a simple method for EMI mitigation in low-field MRI, enhancing image quality while maintaining system portability and accessibility.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 3 minor

Summary. The manuscript introduces FENCE, a flexible PCB endo-shield placed inside the RF coil to suppress EMI in low-field MRI by blocking hypothesized capacitive coupling from the body while preserving inductive signal reception. It combines FENCE with segmented solenoid coils, uses finite-element simulations to predict shielding performance and Q-factor impact, and validates via phantom and in-vivo head imaging experiments showing EMI reduction to near-baseline levels, 9% Q-factor drop in phantoms, and ~18% in vivo, with good simulation-experiment agreement.

Significance. If the central results hold, FENCE offers a simple, retrofittable EMI mitigation approach that avoids Faraday cages, subject grounding, or multi-channel active cancellation, thereby supporting portable low-field MRI deployment. The work is strengthened by direct experimental comparison to baseline and controlled EMI sources plus alignment between FE simulations and measured Q-factor reductions and imaging improvements.

major comments (1)
  1. [Introduction] Introduction: The design of FENCE rests on the hypothesis that EMI primarily couples capacitively from the body to the RF coil, yet this mechanism is not independently verified. No experiments isolate electric-field versus magnetic-field coupling (e.g., via controlled dielectric variation, body-coil distance changes, or purely inductive noise sources), so the observed suppression could reflect broadband attenuation rather than targeted capacitive blocking; this is load-bearing for the claim that FENCE is a mechanistically specific, retrofittable solution.
minor comments (3)
  1. [Abstract] Abstract and Results: EMI reduction is repeatedly described only as 'near-baseline levels' without accompanying quantitative metrics (e.g., dB suppression, SNR ratios, or power spectral density comparisons); adding these numbers would allow direct assessment of effect size.
  2. [Methods] Methods: Finite-element simulation parameters (mesh density, material properties, boundary conditions) and exact FENCE geometry should be stated more explicitly to support reproducibility of the reported Q-factor predictions.
  3. [Results] Figure 3 or equivalent (phantom results): Clarify whether the reported 9% Q-factor reduction is measured at the Larmor frequency or averaged; include error bars or multiple trials for the in-vivo ~18% figure.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We are grateful to the referee for the positive overall assessment of the work and for the constructive major comment on the mechanistic hypothesis. We respond to it below.

read point-by-point responses
  1. Referee: [Introduction] Introduction: The design of FENCE rests on the hypothesis that EMI primarily couples capacitively from the body to the RF coil, yet this mechanism is not independently verified. No experiments isolate electric-field versus magnetic-field coupling (e.g., via controlled dielectric variation, body-coil distance changes, or purely inductive noise sources), so the observed suppression could reflect broadband attenuation rather than targeted capacitive blocking; this is load-bearing for the claim that FENCE is a mechanistically specific, retrofittable solution.

    Authors: We thank the referee for this observation. While the manuscript does not include dedicated experiments that isolate electric-field from magnetic-field coupling (such as controlled dielectric variation, body-coil distance changes, or purely inductive noise sources), the approach is grounded in electromagnetic theory for low-field environments and is supported by finite-element simulations that explicitly model the attenuation of electric fields by FENCE while preserving magnetic-field sensitivity. The experimental results show EMI suppression to near-baseline levels with only modest Q-factor reductions (9% phantom, ~18% in vivo) that match the simulation predictions, which would be unlikely under purely non-specific broadband attenuation. We have revised the Introduction to more explicitly reference supporting literature on capacitive EMI coupling and added a paragraph in the Discussion acknowledging the absence of isolating experiments while summarizing the simulation-experiment agreement as mechanistic support. revision: partial

Circularity Check

0 steps flagged

No circularity; experimental validation independent of hypothesis

full rationale

The paper states an initial hypothesis that EMI couples primarily capacitively from the body to the RF coil, then designs FENCE and coil segmentation to block that path while preserving inductive signal reception. It proceeds via finite-element simulations to predict shielding performance and Q-factor impact, followed by direct phantom and in-vivo measurements against environmental and controlled EMI sources. No equations, fitted parameters, or self-citations are shown that reduce any claimed prediction or result back to the inputs by construction. The observed EMI suppression to near-baseline levels and quantified Q-factor reductions constitute independent empirical outcomes rather than definitional or statistical artifacts of the starting assumption.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 1 invented entities

The work rests on standard electromagnetic simulation assumptions and the central hypothesis of dominant capacitive coupling; no free parameters are fitted to achieve the reported EMI reduction, and no new physical entities are postulated.

axioms (2)
  • domain assumption EMI in low-field MRI primarily couples capacitively from the body to the RF coil
    Stated explicitly as the starting hypothesis in the abstract; underpins choice of internal shielding approach.
  • domain assumption Finite-element simulations accurately predict shielding performance and coil losses for the tested geometries
    Used to guide design prior to implementation; agreement with experiment is reported but not proven a priori.
invented entities (1)
  • FENCE (Flexible Electromagnetic Noise reduCtion Endo-shield) independent evidence
    purpose: Internal flexible PCB shield to block capacitive EMI coupling while preserving inductive signal detection
    Novel hardware introduced in this work; independent evidence consists of the reported phantom and in-vivo performance metrics.

pith-pipeline@v0.9.0 · 5598 in / 1233 out tokens · 75252 ms · 2026-05-17T01:36:27.275378+00:00 · methodology

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Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Comment on electromagnetic noise cancellation in low-field MRI systems (arXiv:2509.05955v1, 2406.17804v3, 2210.06730v2, and related works)

    physics.med-ph 2026-04 unverdicted novelty 2.0

    Post-elimination of EMI via external sensing coils in LF-MRI necessarily produces higher residual contamination than optimal hardware-based pre-elimination.

Reference graph

Works this paper leans on

29 extracted references · 29 canonical work pages · cited by 1 Pith paper

  1. [1]

    Active EMI suppression system for a 50 mT unshielded portable MRI scanner,

    L. Yang, W. He, Y . He, J. Wu, S. Shen, and Z. Xu, “Active EMI suppression system for a 50 mT unshielded portable MRI scanner,”IEEE Transactions on Biomedical Engineering, vol. 69, no. 11, pp. 3415–3426, 2022

  2. [2]

    A review of electromagnetic elimination methods for low-field portable MRI scanner,

    W. Bian, P. Li, M. Zheng, C. Wang, A. Li, Y . Li, H. Ni, and Z. Zeng, “A review of electromagnetic elimination methods for low-field portable MRI scanner,” in2024 5th International Conference on Machine Learning and Computer Application (ICMLCA), pp. 614–618, IEEE, 2024

  3. [3]

    External Dynamic InTerference Estimation and Removal (EDITER) for low field MRI,

    S. A. Srinivas, S. F. Cauley, J. P. Stockmann, C. R. Sappo, C. E. Vaughn, L. L. Wald, W. A. Grissom, and C. Z. Cooley, “External Dynamic InTerference Estimation and Removal (EDITER) for low field MRI,”Magnetic Resonance in Medicine, vol. 87, no. 2, pp. 614–628, 2022

  4. [4]

    A low-cost and shielding-free ultra-low-field brain MRI scanner,

    Y . Liu, A. T. L. Leong, Y . Zhao, L. Xiao, H. K. F. Mak, A. C. O. Tsang, G. K. K. Lau, G. K. K. Leung, and E. X. Wu, “A low-cost and shielding-free ultra-low-field brain MRI scanner,”Nature Communications, vol. 12, no. 1, p. 7238, 2021

  5. [5]

    Electromagnetic interference elimination via active sensing and deep learning prediction for radiofrequency shielding-free MRI,

    Y . Zhao, L. Xiao, Y . Liu, A. T. Leong, and E. X. Wu, “Electromagnetic interference elimination via active sensing and deep learning prediction for radiofrequency shielding-free MRI,”NMR in Biomedicine, vol. 37, no. 7, p. e4956., 2024

  6. [6]

    Robust EMI elimination for RF shielding-free MRI through deep learning direct MR signal prediction,

    Y . Zhao, L. Xiao, J. Hu, and E. X. Wu, “Robust EMI elimination for RF shielding-free MRI through deep learning direct MR signal prediction,”Magnetic Resonance in Medicine, vol. 92, no. 1, pp. 112–127, 2024

  7. [7]

    MaRCoS, an open-source electronic control system for low-field MRI,

    V . Negnevitsky, Y . Vives-Gilabert, J. M. Algar´ın, L. Craven-Brightman, R. Pellicer-Guridi, T. O’Reilly, J. P. Stockmann, A. Webb, J. Alonso, and B. Menk¨uc, “MaRCoS, an open-source electronic control system for low-field MRI,”Journal of Magnetic Resonance, vol. 350, p. 107424, 2023

  8. [8]

    Subject grounding to reduce electromagnetic interference for MRI scanners operating in unshielded environments,

    B. Lena, B. de V os, T. Guallart-Naval, J. Parsa, P. Garcia Cristobal, R. van den Broek, C. Najac, J. Alonso, and A. Webb, “Subject grounding to reduce electromagnetic interference for MRI scanners operating in unshielded environments,”Magnetic Resonance in Medicine, 2025. Early View - Online Version of Record before inclusion in an issue

  9. [9]

    Evaluation of propagation characteristics using the human body as an antenna,

    J. Li, Z. Nie, Y . Liu, L. Wang, and Y . Hao, “Evaluation of propagation characteristics using the human body as an antenna,”Sensors, vol. 17, no. 12, p. 2878, 2017

  10. [10]

    J. H. Nagel,Medical Instruments and Devices, vol. 2 ofThe Biomedical Engineering Handbook. CRC Press, Taylor & Francis Group, fourth ed., Apr. 2015. Chapter 9 Biopotential Amplifiers - Section 9.2.1 Interferences

  11. [11]

    Mispelter, M

    J. Mispelter, M. Lupu, and A. Briguet,NMR Probeheads for Biophysical and Biomedical Experiments: Theoretical Principles and Practical Guidelines. Imperial College Press London, first ed., May 2006. Chapter 10 Probe Evaluation and Debugging - Section 10.1.2.2 Evaluation of Q factor

  12. [12]

    RF shielding and eddy currents in NMR probes,

    M. S. Conradi and A. P. Zens, “RF shielding and eddy currents in NMR probes,”Journal of Magnetic Resonance, vol. 305, pp. 180–184, 2019

  13. [13]

    Tackling SNR at low-field: a review of hardware approaches for point-of-care systems,

    A. Webb and T. O’Reilly, “Tackling SNR at low-field: a review of hardware approaches for point-of-care systems,” Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 36, no. 3, pp. 375–393, 2023. 3https://matrix.to/#/#osii:matrix.org 17 FENCE: Flexible Electric Noise Cancellation Endo-shield for the Suppression of Electromagnetic Interferen...

  14. [14]

    6.2 ed., 2023

    COMSOL Multiphysics,AC/DC Module User’s Guide, Transition Boundary Condition, v. 6.2 ed., 2023. Available at:https://doc.comsol.com/6.2/doc/com.comsol.help.woptics/woptics_ug_optics.6.26.html

  15. [15]

    Dielectric properties of poly(ethylene terephthalate) and poly(ethylene 2,6- naphthalate),

    P. Yang, F. Tian, and Y . Ohki, “Dielectric properties of poly(ethylene terephthalate) and poly(ethylene 2,6- naphthalate),”IEEE Transactions on Dielectrics and Electrical Insulation, vol. 21, pp. 2310 – 2317, 2014

  16. [16]

    Dielectric properties of polyethylene terephthalate/polyphenylene sulfide/barium titanate nanocomposite for application in electronic industry,

    M. Konieczna, E. Markiewicz, and J. Jurga, “Dielectric properties of polyethylene terephthalate/polyphenylene sulfide/barium titanate nanocomposite for application in electronic industry,”Polymer Engineering & Science, vol. 50, pp. 1613–1619, 2010

  17. [17]

    Solenoid d150 N20

    C. Engler, R. Montag, T. O’Reilly, S. Schachel, and L. Winter, “Solenoid d150 N20.” GitLab, 2025. https://gitlab.com/osii/rf-system/rf-coils/solenoid-d150-n20, commit: 75a442d1c09e105c508fce087247533c2d21d67c

  18. [18]

    A4IM RF Head Coil

    U. Zanovello, “A4IM RF Head Coil.” GitLab, 2025. https://gitlab.com/osii/rf-system/rf-coils/a4im-rf-head-coil, commit: fd0f42816851079b292181cb2a0368800c05d4b2

  19. [19]

    Segmented Coil Design Powering the Next Generation of High-efficiency Robust Micro-implants,

    Y . Tao, R. Lemdiasov, A. Venkatasubramanian, and M. Wong, “Segmented Coil Design Powering the Next Generation of High-efficiency Robust Micro-implants,” inSmart Grids Technology and Applications(L. Mihet- Popa, ed.), ch. 6, London: IntechOpen, 2022

  20. [20]

    OSI² ONE: Open Source low-field MRI scanner

    Open Source Imaging Initiative, “OSI² ONE: Open Source low-field MRI scanner.” Gitlab, 2023. https://gitlab.com/osii/mri-scanners/osii-one

  21. [21]

    OCRA MRI

    T. Witzel, “OCRA MRI.” Website. https://openmri.github.io/ocra/, Accessed 20-11-2025

  22. [22]

    RedPitConsole

    J. Frintz, M. H ¨auer, C. H ¨ohn, M. Tobias, R. Montag, D. Schote, F. Seifert, B. Silemek, and L. Winter, “RedPitConsole.” GitLab, 2023. https://gitlab.com/osii/console/redpitconsole, commit: dc- cdfff9369428e95587b24be15305c6d5681d8c

  23. [23]

    1kW peak RFPA

    D. de Gans, “1kW peak RFPA.” GitLab, 2022. https://gitlab.com/osii/rf-system/rf-power-amplifier/1kw-peak-rfpa, commit: 12db0c05518f871c5a809aac88f7eb013608d5b2

  24. [24]

    TU Delft GA2

    D. de Gans, “TU Delft GA2.” GitLab, 2022. https://gitlab.com/osii/gradient-system/gradient-power-amplifier/tu- delft-ga2, commit: e49ae763f2266c0a2a35dda1ec5940065402f7a4

  25. [25]

    30cm Halbach Magnet

    M. H ¨auer, T. O’Reilly, S. Schachel, W. Teeuwisse, and L. Winter, “30cm Halbach Magnet.” GitLab, 2024. https://gitlab.com/osii/magnet/30cm-halbach-magnet, commit: 1b5b726184550a9ac52e231497d3e05f383ec547

  26. [26]

    A4IM OSI² TR-Switch

    M. Prier, “A4IM OSI² TR-Switch.” Website, 10 2024. https://zeugmatographix.org/ocra/2024/10/11/a4im-osi

  27. [27]

    MaRGE: A graphical environment for MaRCoS,

    J. M. Algar´ın, T. Guallart-Naval, J. Borreguero, F. Galve, and J. Alonso, “MaRGE: A graphical environment for MaRCoS,”Journal of Magnetic Resonance, vol. 361, p. 107662, 2024

  28. [28]

    The rician distribution of noisy MRI data,

    H. Gudbjartsson and S. Patz, “The rician distribution of noisy MRI data,”Magnetic Resonance in Medicine, vol. 34, no. 6, pp. 910–914, 1995

  29. [29]

    Open source 3D multipurpose measurement system with submillimetre fidelity and first application in magnetic resonance,

    H. Han, R. Moritz, E. Oberacker, H. Waiczies, T. Niendorf, and L. Winter, “Open source 3D multipurpose measurement system with submillimetre fidelity and first application in magnetic resonance,”Scientific Reports, vol. 7, no. 1, p. 13452, 2017. 18 FENCE: Flexible Electric Noise Cancellation Endo-shield for the Suppression of Electromagnetic Interference ...