Evidence map›Paper›PMID 41639752›Full record

ArticleMagnetic resonance in medicine2026

Respiratory Motion-Corrected Model-Based 3D Water-Fat MRA of the Thorax at 0.55 T.

Robert Stoll, Christoph Kolbitsch, Michaela Schmidt, Marcel Dominik Nickel, Tobias Schaeffter, Daniel Giese

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

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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

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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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Robert StollDepartment of Medical Engineering, Technical University Berlin, Berlin, Germany.ORCID 0009-0006-3958-5933
Christoph KolbitschPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.ORCID 0000-0002-4355-8368
Michaela SchmidtResearch & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.
Marcel Dominik NickelResearch & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.ORCID 0000-0002-0360-7233
Tobias SchaeffterDepartment of Medical Engineering, Technical University Berlin, Berlin, Germany.ORCID 0000-0003-1310-2631
Daniel GieseResearch & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.ORCID 0000-0002-3925-4441

Funding

European Partnership on Metrology 22HLT02 A4IMEuropean Union's Horizon Europe Research and Innovation ProgrammeGerman Research Foundation GRK2260German Research Foundation GRK2260, BIOQIC
6 · The paper itself

Abstract

purposeThe goal of this study was to develop a 5-min 3D MRA acquisition at 0.55 T with predictable scan time, 100% data efficiency, and robust water-fat separation.

methodsFor full data efficiency, the proposed method combined self-gating with retrospective motion correction while ensuring a predictable 5-min scan time. Water-fat separation was implemented using a model-based Dixon reconstruction. Evaluation in 18 volunteers compared results to navigator-gated reference scans with nominal scan times of 5 and 10 min via a Likert scale blinded expert rating. Susceptibility to irregular breathing patterns was also analyzed.

resultsThe expert rating for image quality was 4.22 for the proposed method, 3.89 for the 5-min navigator-gated scan and 4.43 for the 10-min navigator-gated scan. Ranking the three methods revealed moderate inter-rater reliability of 0.46, suggesting only minor differences. While navigator-gated acquisitions deviated from the expected scan time by -2.26 to 2.86 min and -3.91 to 4.54 min for the 5- and 10-min protocols respectively, the proposed method deviated only by -0.17 to 0.45 min. The self-gated method further avoided saturation artifacts from the cross-beam navigator, allowing better distinction of the right pulmonary veins. Image quality for the proposed method was also less susceptible to irregular breathing patterns.

conclusionWhole-thorax MRA acquisitions with water-fat separation and predictable scan times were successfully acquired in 18 volunteers at 0.55 T. The proposed method demonstrated on average better image quality than navigator-gated acquisitions of the same nominal scan time while mitigating limitations of prospective navigator gating.

Indexed as

Adipose TissueImaging, Three-DimensionalMagnetic Resonance AngiographyThoraxAdultAlgorithmsFemaleHumansImage Processing, Computer-AssistedMaleMotionReproducibility of ResultsRespirationRespiratory-Gated Imaging TechniquesWaterWater0.55 Tcardiac MRAmotion‐correctionwater‐fat separation

Identifiers

PMID41639752
PMCPMC13049257

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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.