Adaptive radiofrequency shimming in MRI using reconfigurable dielectric materials

Inhomogeneity of the transmitted radiofrequency field ([Formula: see text]) is a major factor hindering the image quality in Magnetic Resonance Imaging (MRI) at high field strengths. Here, a novel approach is presented, to locally modulate the [Formula: see text] utilizing an array of high permittivity materials with switchable connections. A 3×3 array of barium titanate suspension elements was constructed, with two PIN diode-based switchable connectors per element. Electromagnetic simulations were performed to determine configurations that produce strong [Formula: see text] modulation. Remote [Formula: see text] field switching was tested in a disk- and a torso-shaped phantom at 3T by applying different bias voltages to the PIN diodes. The attained [Formula: see text] modulation was assessed at various switching pattern positions and various depths within the phantoms. The configuration with the strongest effect size has produced up to 11% modulation in simulations at 15 mm depth, with excellent translation properties. The effects were successfully replicated in phantoms, with a 5 V bias voltage producing up to 11.6±0.2% modulation. At the relative depth of the human heart, up to 6% of modulation was observed in the torso phantom. The presented method may provide a promising direction for cost-effective, and adaptive [Formula: see text] shimming without changes to the scanner hardware.

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Publication Details

Journal
Scientific Reports
Published
2025-12-24
DOI
https://doi.org/10.1038/s41598-025-32636-0
Primary Topic
Electromagnetic wave absorption materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Adaptive radiofrequency shimming in MRI using reconfigurable dielectric materials

Wyger M. Brink, Sebastian Weingärtner, Kadir Berat Yildirim, Jasper van Leeuwen et al.
Scientific Reports
Electromagnetic wave absorption materials
article

Adaptive radiofrequency shimming in MRI using reconfigurable dielectric materials

Wyger M. Brink, Sebastian Weingärtner, Kadir Berat Yildirim, Jasper van Leeuwen, Robert van de Velde, Ömer Can Akgün, Paulina Šiurytė
article en

Abstract

Inhomogeneity of the transmitted radiofrequency field ([Formula: see text]) is a major factor hindering the image quality in Magnetic Resonance Imaging (MRI) at high field strengths. Here, a novel approach is presented, to locally modulate the [Formula: see text] utilizing an array of high permittivity materials with switchable connections. A 3×3 array of barium titanate suspension elements was constructed, with two PIN diode-based switchable connectors per element. Electromagnetic simulations were performed to determine configurations that produce strong [Formula: see text] modulation. Remote [Formula: see text] field switching was tested in a disk- and a torso-shaped phantom at 3T by applying different bias voltages to the PIN diodes. The attained [Formula: see text] modulation was assessed at various switching pattern positions and various depths within the phantoms. The configuration with the strongest effect size has produced up to 11% modulation in simulations at 15 mm depth, with excellent translation properties. The effects were successfully replicated in phantoms, with a 5 V bias voltage producing up to 11.6±0.2% modulation. At the relative depth of the human heart, up to 6% of modulation was observed in the torso phantom. The presented method may provide a promising direction for cost-effective, and adaptive [Formula: see text] shimming without changes to the scanner hardware.

Scientific ReportsVol. 16(1)
National Institute for Subatomic Physics (NL), University of Twente (NL), Delft University of Technology (NL)
European Commission, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Leids Universitair Medisch Centrum
Openalex Percentile: Top 51%
Electromagnetic wave absorption materials
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Adaptive radiofrequency shimming in MRI using reconfigurable dielectric materials — Wyger M. Brink, Sebastian Weingärtner, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS