Evidence map›Paper›PMID 41984325›Full record

ArticleMagma (New York, N.Y.)2026

Towards an anthropomorphic MRI phantom mimicking static and dynamic B

Laura Beghini, Brunnhilde M A-S Ponsi, Kamilla Refsholt, Annelen Dogger Schmidt, Virginie Callot, S Johanna Vannesjo

Abstract read
PubMed Publisher
In one paragraph

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

6 authors.

Laura BeghiniDepartment of Physics, Norwegian University of Science and Technology, Trondheim, Norway.ORCID http://orcid.org/0009-0008-6199-069X
Brunnhilde M A-S PonsiDepartment of Physics, Norwegian University of Science and Technology, Trondheim, Norway.
Kamilla RefsholtDepartment of Physics, Norwegian University of Science and Technology, Trondheim, Norway.
Annelen Dogger SchmidtDepartment of Physics, Norwegian University of Science and Technology, Trondheim, Norway.
Virginie CallotAix-Marseille Université, CNRS, CRMBM UMR 7339, Marseille, France.
S Johanna VannesjoDepartment of Physics, Norwegian University of Science and Technology, Trondheim, Norway. johanna.vannesjo@ntnu.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSpinal cord MRI is heavily affected by static and dynamic B MATERIALS AND

methodsThe phantom consisted of a 3D-printed head-to-thorax shell containing 3D-printed vertebrae (C1-T1) in a water-based liquid solution. An external respiration system mimicked breathing-induced field fluctuations by moving metal staples over the phantom. The accuracy of the reproduced fields was evaluated at 7 T by field maps and multi-echo GREs acquired in the phantom and in four subjects.

resultsFourier-based field simulations confirmed the vertebrae to be the main contributors to the local static field in the spinal canal, providing a rationale for the phantom design. The 3D-printed vertebrae accurately reproduced the spatial field pattern encountered in vivo, but with one-third of the intensity due to lower susceptibility differences. The respiration system produced spatially and temporally similar dynamic field fluctuations as in vivo. DISCUSSION: The phantom was designed to be low-cost, modular and reproducible, while also being non-toxic and free from biological hazards. It may serve as a useful tool for development and testing of correction strategies to address the persistent challenge of B

Indexed as

ArtifactsB0 field inhomogeneityBreathingPhantomSpinal cord

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.