Evidence map›Paper›PMID 41299668›Full record

ArticleMagnetic resonance in medicine2026

Ultimate Intrinsic SNR in the Torso of Realistic Body Models.

Yuting Wang, Markus W May, Marcel Gratz, Mark E Ladd, Stephan Orzada

Abstract read
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Yuting WangMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0009-0006-5366-8516
Markus W MayHigh-Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany.ORCID https://orcid.org/0000-0003-3869-9681
Marcel GratzHigh-Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany.ORCID https://orcid.org/0000-0001-9723-5233
Mark E LaddMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0002-4128-9440
Stephan OrzadaMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0001-9784-4354

Funding

HORIZON EUROPE Framework Programme 101078393/MRITwins
6 · The paper itself

Abstract

purposeThis work aims to investigate how the ultimate intrinsic signal-to-noise ratio (uiSNR) varies with increasing static magnetic field

methodsA dipole cloud was positioned around the realistic body model and randomly excited. The volume integral solver MARIE was used to calculate the corresponding electromagnetic fields. The uiSNR maps were calculated using these electromagnetic bases and were fitted with the power law for different

resultsThe uiSNR could be reliably calculated in regions deeper than 3 cm, where convergence of uiSNR over the number of basis vectors was achieved. In a lower magnetic field range (from 0.55 to 3 T), the uiSNR increases roughly linearly versus

conclusionThe superlinear scaling exponent in the upper magnetic field range indicates the promise of applying UHF MRI for body imaging.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingTorsoAlgorithmsComputer SimulationElectromagnetic FieldsHumansPhantoms, ImagingSignal-To-Noise Ratioin silicoMRItorsouiSNR

Identifiers

PMID41299668
PMCPMC12850614

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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.