Evidence map›Paper›PMID 25630632›Full record

ReviewJournal of magnetic resonance imaging : JMRI2015

Motion artifacts in MRI: A complex problem with many partial solutions.

Maxim Zaitsev, Julian Maclaren, Michael Herbst

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05820113 (Deep Learning Super Resolution Reconstruction for Fast and Motion Robust T2-weighted Prostate MRI), which is not on this map. Cited by 344 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
344citing papers in PubMed, 2 pooled it
–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.

NCT05820113 nacompletednot on this mapstarted 2022, after this paper: background citation

Deep Learning Super Resolution Reconstruction for Fast and Motion Robust T2-weighted Prostate MRI

TypeinterventionalSponsorUniversity Hospital, BonnRan2022 to 2022Enrolled109ConditionsProstate Cancer, Multiparametric MRIArmsDeep learning based reconstruction of T2-TSE sequence
3 · Its place in the literature

Who cites it

344 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Differential Diagnosis Using MRI of Canine Intestinal Neoplasms, Including Lymphoma, Adenocarcinoma, and Inflammatory Polyp: Case Series.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2026
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284 more citing papers are in PubMed but not listed here.

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

3 authors.

Maxim ZaitsevDepartment of Radiology, University Medical Centre Freiburg, Freiburg, Germany.
Julian MaclarenDepartment of Radiology, University Medical Centre Freiburg, Freiburg, Germany.
Michael HerbstDepartment of Radiology, University Medical Centre Freiburg, Freiburg, Germany.

Funding

RGR-based motion tracking for real-time adaptive MR imaging and spectroscopyR01DA021146 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI ERNST, THOMAS M · 2007 to 2018
$8.6M
Real-Time MRI Motion Correction SystemR01EB011654 · NIBIB · STANFORD UNIVERSITY · PI ZEINEH, MICHAEL M · 2010 to 2013
$2.4M
A Prototype Wireless Digital MR Spectrometer on a Single Integrated CircuitR21EB017616 · NIBIB · STANFORD UNIVERSITY · PI BAMMER, ROLAND · 2013 to 2014
$425k
NIBIB NIH HHS 5R01 EB011654NIBIB NIH HHS 5R21 EB017616NIBIB NIH HHS R01 EB011654NIBIB NIH HHS R21 EB017616NIDA NIH HHS 1R01 DA021146NIDA NIH HHS 2R01 DA021146NIDA NIH HHS R01 DA021146
6 · The paper itself

Abstract

Subject motion during magnetic resonance imaging (MRI) has been problematic since its introduction as a clinical imaging modality. While sensitivity to particle motion or blood flow can be used to provide useful image contrast, bulk motion presents a considerable problem in the majority of clinical applications. It is one of the most frequent sources of artifacts. Over 30 years of research have produced numerous methods to mitigate or correct for motion artifacts, but no single method can be applied in all imaging situations. Instead, a "toolbox" of methods exists, where each tool is suitable for some tasks, but not for others. This article reviews the origins of motion artifacts and presents current mitigation and correction methods. In some imaging situations, the currently available motion correction tools are highly effective; in other cases, appropriate tools still need to be developed. It seems likely that this multifaceted approach will be what eventually solves the motion sensitivity problem in MRI, rather than a single solution that is effective in all situations. This review places a strong emphasis on explaining the physics behind the occurrence of such artifacts, with the aim of aiding artifact detection and mitigation in particular clinical situations.

Indexed as

ArtifactsMovementAnesthesiaBrainBreath HoldingCardiac-Gated Imaging TechniquesHumansImage EnhancementImmobilizationMagnetic Resonance ImagingModels, BiologicalMotionReproducibility of ResultsRespiratory-Gated Imaging TechniquesSensitivity and Specificitymotion artifactmotion correctionmotion preventionMRIreview

Identifiers

PMID25630632
PMCPMC4517972

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.