Evidence map›Paper›PMID 40560478›Full record

ArticleMagma (New York, N.Y.)2025

Open-source, customizable phantom for low-field magnetic resonance imaging.

Kalina V Jordanova, Stephen E Russek, Kathryn E Keenan

Abstract read
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

3 authors.

Kalina V JordanovaPhysical Measurement Laboratory, National Institute of Standards and Technology, 325 Broadway, Boulder, CO, 80305, USA. kalinaj@alumni.stanford.edu.ORCID http://orcid.org/0000-0002-9097-3863
Stephen E RussekPhysical Measurement Laboratory, National Institute of Standards and Technology, 325 Broadway, Boulder, CO, 80305, USA.
Kathryn E KeenanPhysical Measurement Laboratory, National Institute of Standards and Technology, 325 Broadway, Boulder, CO, 80305, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to describe important criteria for phantom design, while designing an open-source phantom that uses accessible materials and fabrication processes, and that can be easily reproduced and modified by others in the MRI research community. MATERIALS AND

methodsWe enumerate considerations related to designing a phantom based on literature and previous experience. We design and use an open-source phantom on a low-field MRI system. The phantom was 3D printed and assembled, and the imaged samples were made from commonly available materials. T1-weighted and T2-weighted axial and coronal images were acquired at 64 mT, and signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and geometric distortion along one dimension were assessed for each image.

resultsTwo iterations of the phantom design were made to improve the construction materials and overall form factor for imaging. T1-weighted and T2-weighted images showed contrast between samples and background. T2-weighted images had an 8-10× increase in SNR and CNR compared to T1-weighted images. Geometric distortion measurements were within one-pixel spacing for all scans. DISCUSSION: An open-source phantom was created to assess MRI scans at low-field. Future users may modify the phantom to suit their needs. User-designed inserts can be added, allowing for validation of many MRI-related measurements.

Indexed as

Magnetic Resonance ImagingPhantoms, ImagingEquipment DesignHumansImage Processing, Computer-AssistedPrinting, Three-DimensionalReproducibility of ResultsSignal-To-Noise RatioImagingMagnetic resonance imagingPhantomsReproducibility of results

Identifiers

PMID40560478
PMCPMC12443934

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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.