Evidence map›Paper›PMID 40252109›Full record

ArticleMagma (New York, N.Y.)2025

Toward accessible MRI: SDR4MR, a simple RF pulse monitoring technique using an inexpensive software-defined radio.

Kouame Ferdinand Kouakou, Anita Paisant, Christophe Aube, Hervé Saint-Jalmes

Abstract readEvaluation StudyValidation Study
In one paragraph

Article in Magma (New York, N.Y.), 2025. 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.

Kouame Ferdinand KouakouLaboratoire HIFIH-SFR ICAT, Université d'Angers, Angers, France. kouame.kouakou@siemens-healthineers.com.ORCID http://orcid.org/0009-0003-3470-4583
Anita PaisantLaboratoire HIFIH-SFR ICAT, Université d'Angers, Angers, France.
Christophe AubeLaboratoire HIFIH-SFR ICAT, Université d'Angers, Angers, France.
Hervé Saint-JalmesLaboratoire LTSI-INSERM 1099, Université de Rennes, Rennes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study evaluated the applicability and performance of the SDR4MR method at 1.5 T and 3 T across different acquisition scenarios in a clinical environment. MATERIALS AND

methodsThe SDR4MR hardware consists of a broadband receiver coil connected to a software-defined radio (SDR) via optional RF attenuators. The SDR stick is plugged into the computer's USB port, which runs the SDR software and a Mathematica script to decode the RF pulse sequence. Several MRI pulse sequences were recorded: (i) a multi-echo multi-slice spin echo sequence to check the SDR4MR configuration on a well-known simple sequence; (ii) 2D and 3D sequences for which detailed information is not available in the user interface.

resultsThe measured RF pulse sequences have been drawn in the style of illustrations found in MRI textbooks. Sequence times and amplitudes were estimated, and sequence details not described in the MRI user interface were retrieved.

conclusionThe present study demonstrated the implementation of SDR4MR on clinical scanners. This easy-to-use configuration enables precise monitoring of RF pulse sequences. This method could be further improved by taking advantage of advances in SDR hardware and software.

Indexed as

Magnetic Resonance ImagingRadio WavesSoftwareEquipment DesignHumansImaging, Three-DimensionalReproducibility of ResultsUser-Computer InterfaceMRIPulse sequenceRadiofrequencySoftware-defined radio

Identifiers

PMID40252109
PMCPMC12497666

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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.