Evidence map›Paper›PMID 39133420›Full record

ArticleMagma (New York, N.Y.)2024

Respiratory motion-corrected T1 mapping of the abdomen.

Jana Huiyue Zhang, Tom Neumann, Tobias Schaeffter, Christoph Kolbitsch, Kirsten Miriam Kerkering

Abstract read
In one paragraph

Article in Magma (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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.

Jana Huiyue ZhangPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany. janahuiyue.zhang@gmail.com.ORCID http://orcid.org/0000-0001-8856-2670
Tom NeumannPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.
Tobias SchaeffterPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.
Christoph KolbitschPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.
Kirsten Miriam KerkeringPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to investigate an approach for motion-corrected T1 mapping of the abdomen that allows for free breathing data acquisition with 100% scan efficiency. MATERIALS AND

methodsData were acquired using a continuous golden radial trajectory and multiple inversion pulses. For the correction of respiratory motion, motion estimation based on a surrogate was performed from the same data used for T1 mapping. Image-based self-navigation allowed for binning and reconstruction of respiratory-resolved images, which were used for the estimation of respiratory motion fields. Finally, motion-corrected T1 maps were calculated from the data applying the estimated motion fields. The method was evaluated in five healthy volunteers. For the assessment of the image-based navigator, we compared it to a simultaneously acquired ultrawide band radar signal. Motion-corrected T1 maps were evaluated qualitatively and quantitatively for different scan times.

resultsFor all volunteers, the motion-corrected T1 maps showed fewer motion artifacts in the liver as well as sharper kidney structures and blood vessels compared to uncorrected T1 maps. Moreover, the relative error to the reference breathhold T1 maps could be reduced from up to 25% for the uncorrected T1 maps to below 10% for the motion-corrected maps for the average value of a region of interest, while the scan time could be reduced to 6-8 s. DISCUSSION: The proposed approach allows for respiratory motion-corrected T1 mapping in the abdomen and ensures accurate T1 maps without the need for any breathholds.

Indexed as

AbdomenArtifactsHealthy VolunteersImage Processing, Computer-AssistedMagnetic Resonance ImagingMotionRespirationAdultAlgorithmsFemaleHumansKidneyLiverMaleMovementReproducibility of ResultsAbdominal T1 mappingImage-based navigatorRespiratory motion correction

Identifiers

PMID39133420
PMCPMC11417068

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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.