Evidence map›Paper›PMID 41193401›Full record

ArticleMagnetic resonance in medicine2026

Wireless Resonators With Coupled Versus Decoupled Units: Which Enhances Local SNR of RF Receive Arrays Better?

Ming Lu, Haoqin Zhu, Ruilin Wang, Xinqiang Yan

Abstract readComparative Study
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Ming LuVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0003-2763-2561
Haoqin ZhuSino Canada Health Institute Inc., Winnipeg, Manitoba, Canada.ORCID https://orcid.org/0009-0007-8558-6993
Ruilin WangCollege of Nuclear Equipment and Nuclear Engineering, Yantai University, Yantai, Shandong, China.
Xinqiang YanVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-4232-3241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare two identically sized wireless resonator designs, one with strongly coupled units and the other with decoupled units, for their ability to enhance receive performance in MRI when used with local receive arrays.

methodsBoth wireless resonator designs were fabricated and experimentally evaluated for detuning efficiency, SNR improvements, and parallel imaging performance (g-factor) at 1.5 T. They were used alongside a 12-channel head receive array, with the standard body coil serving as the RF transmitter.

resultsExperimental data showed that the wireless resonator with decoupled units consistently outperformed that with coupled units, with up to threefold improvement in SNR and a reduction of maximum/average g-factor from 4.6/1.8 to 3.1/1.3. Notably, compared to the original receive array (maximum/average: 3.9/1.7), the decoupled design further improved the g-factor, highlighting superior performance in accelerated imaging.

conclusionWireless resonators with decoupled units offer significant advantages in improving MRI image quality and parallel imaging performance over their coupled counterparts. Their ease of detuning and pronounced gains in SNR and g-factor make them a compelling choice for wireless resonator designs.

Indexed as

Image EnhancementMagnetic Resonance ImagingTransducersWireless TechnologyEquipment DesignEquipment Failure AnalysisHumansPhantoms, ImagingRadio WavesReproducibility of ResultsSignal-To-Noise Ratiog‐factorMRIpassive resonatorsignal‐to‐noise ratio (SNR)wireless resonator

Identifiers

PMID41193401
PMCPMC12850623

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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.