Evidence map›Paper›PMID 42356840›Full record

ArticleSensors (Basel, Switzerland)2026

Detailed Consideration of a Novel Meandered Dipole Array for Magnetic Resonance Imaging of the Head at 3 Tesla with Low Radiofrequency Power Deposition.

Maryam Arianpouya, Benson Yang, Peter Truong, Simon J Graham

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Maryam ArianpouyaPhysical Sciences Platform, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada.ORCID 0009-0006-6959-5294
Benson YangPhysical Sciences Platform, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada.ORCID 0000-0001-5575-6874
Peter TruongPhysical Sciences Platform, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada.
Simon J GrahamPhysical Sciences Platform, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada.

Funding

CIHR 410010976
6 · The paper itself

Abstract

Electric dipole antennas can be designed in a variety of geometries and applied across a wide range of configurations. Appropriately designed dipole antennas can provide deep tissue penetration and low radiofrequency (RF) power deposition in magnetic resonance imaging (MRI), making them attractive for applications requiring safe and effective RF transmission in deep regions. On clinical 3 T MRI systems, however, conventional dipoles are too large in size for practical imaging of the head. Inspired by telecommunications designs, the present work adapts meandered dipoles (where the conductor is folded to shorten the antenna) with the resonance frequency controlled through trace geometry. Additionally, multi-channel configurations are considered to improve RF power transmission. A straight dipole was progressively transformed into meandered geometries and characterized using benchtop measurements and electromagnetic simulations. Analyses evaluated frequency response, near-field behavior, power-flow directionality, and distributions of local tissue heating and transmitted RF magnetic field in multi-channel arrays. A four-channel parallel-transmit (pTx) prototype was also used to show the feasibility of dipole-based head imaging at 3 T. The present work demonstrates a practical implementation of compact, low-heating dipole arrays for head MRI, with potential for extension to ultra-high-field or multinuclear imaging.

Indexed as

meandered dipole antennaMRIparallel radiofrequency transmission (pTx)parasitic elementsspecific absorption rate (SAR)

Identifiers

PMID42356840
PMCPMC13306261

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.