Evidence map›Paper›PMID 41077906›Full record

ArticleMagnetic resonance in medicine2026

Self-Navigated, Retrospective, Data-Consistent Motion Correction for MPnRAGE.

John Podczerwinski, Andrew L Alexander, Brittany G Travers, James J Li, Steven R Kecskemeti

Abstract read
PubMed Full text at PMC Publisher
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.

John PodczerwinskiWaisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0001-6613-2805
Andrew L AlexanderWaisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0003-2695-768X
Brittany G TraversWaisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0002-8161-3858
James J LiWaisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0001-8031-7216
Steven R KecskemetiWaisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0003-3589-430X

Funding

ADRC Consortium for Clarity in ADRD Research Through ImagingU01AG082350 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sarah Biber, BRADFORD C DICKERSON · 2023 to 2026
$90.0M
Waisman Center Intellectual and Developmental Disabilities Research CenterP50HD105353 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Brittany Gail Travers · 2021 to 2026
$8.5M
Toward Healthy Aging in Adults with Autism: A Longitudinal Clinical and Multimodal Brain Imaging StudyR01MH132218 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI ALEXANDER, ANDREW L, LAINHART, JANET ELIZABETH · 2022 to 2024
$6.9M
Auditory function, cognition, language and brain structure in Down Syndrome- Admin SupplementR01DC019511 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI ANDREW L ALEXANDER, Sigan L Hartley · 2022 to 2026
$3.4M
Motion Robust Relaxometry for Infant NeuroimagingR01HD108868 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI ALEXANDER, ANDREW L, GILLICK, BERNADETTE THERESE · 2022 to 2025
$2.5M
High Performance Gradient System for Advanced Neuroimaging ResearchS10OD030415 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI ALEXANDER, ANDREW L · 2021 to 2021
$2.0M
NIA NIH HHS U01 AG082350NICHD NIH HHS P50 HD105353NICHD NIH HHS R01 HD108868NIDCD NIH HHS R01 DC019511NIH HHS S10 OD030415NIMH NIH HHS R01 MH132218NIMH NIH HHS R01 R01MH132218ORIP NIH HHS S10 OD030415
6 · The paper itself

Abstract

purposeTo extend and automate a data-consistent, self-navigated motion-correction method for 3D radial T1-weighted imaging.

methodsThis method incorporated rigid-body motion effects into the forward model, solving for parameters that maximize consistency with the data. The method was tested on five datasets with a range of motion types and severities. A separate collection of datasets was used to study the effect that the method has on the test-retest reliability of cortical thickness estimates.

resultsImage quality was improved across a wide range of distinct motion types, including some cases that would have been unusable if left uncorrected. The error-based weighting scheme and the increased timing resolution afforded by the proposed method were especially useful in cases of extreme and rapid motions. Moreover, the method improved test-retest reliability of cortical thickness measures in pediatric subjects, decreasing the average coefficient of variation from

conclusionThis method was found to be effective when used on T1-weighted radial data, both qualitatively and quantitatively. The fine-scale timing resolution and error-based weighting afforded by this technique will likely provide only a small benefit, unless one is investigating motion-prone populations or is searching for a very small effect size.

Indexed as

BrainImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingAdolescentAdultAlgorithmsArtifactsChildFemaleHumansMaleMotionReproducibility of ResultsRetrospective Studiesk‐spacemotion correctionMPnRAGEradialT1‐weighted

Identifiers

PMID41077906
PMCPMC12631670

What OpenQuestion holds

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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.