Evidence map›Paper›PMID 42333492›Full record

ArticleMagnetic resonance in medicine2026

Prospective Head Motion Correction in T1- and T2-Weighted Long Echo Train Sequences Using Servo Navigation.

Matthias Serger, Malte Riedel, Rüdiger Stirnberg, Thomas Ulrich, Nicolas Boulant, Klaas P Pruessmann, Tony Stöcker, Philipp Ehses

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. 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

8 authors.

Matthias SergerMR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID https://orcid.org/0009-0009-4225-8986
Malte RiedelInstitute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.
Rüdiger StirnbergMR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID https://orcid.org/0000-0001-7021-1063
Thomas UlrichInstitute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.
Nicolas BoulantCEA, CNRS, BAOBAB, NeuroSpin, University of Paris-Saclay, Gif sur Yvette, France.ORCID https://orcid.org/0000-0003-2144-2484
Klaas P PruessmannInstitute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-0009-8362
Tony StöckerMR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID https://orcid.org/0000-0002-8946-9141
Philipp EhsesMR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID https://orcid.org/0000-0002-5839-6525

Funding

Horizon 2020 Framework Programme 885876
6 · The paper itself

Abstract

purposeTo integrate MR-based servo navigation in MPRAGE and 3D-TSE sequences and demonstrate its potential for prospective head motion correction in structural imaging.

methodsRepeated modules of servo navigators were inserted before each preparation pulse of MPRAGE and 3D-TSE sequences (before-prep) for rapid convergence of motion parameter estimation. Additionally, reference navigators were distributed along the imaging echo train to test a within-echo train correction (within-ET) with contrast-matched models, enabling more frequent geometry updates. The methods were evaluated in instructed motion experiments and in high-resolution scans at 7T.

resultsArtifacts caused by instructed abrupt motion were clearly reduced in scans with servo navigation for both sequences using the before-prep correction. Residual artifacts of rapid in-train motion were further mitigated by the within-ET correction in MPRAGE. In high-resolution scans with minimal motion, servo navigation preserved fine anatomical details, while it improved image quality under involuntary motion in long acquisitions.

conclusionServo navigation provides accurate real-time head motion correction for structural brain imaging.

Indexed as

ArtifactsBrainHead MovementsImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingAlgorithmsHumansMotionReproducibility of ResultsSensitivity and Specificityhigh‐resolutionMPRAGEprospective motion correctionservo navigationSPACE

Identifiers

PMID42333492
PMCPMC13419364

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.