Evidence map›Paper›PMID 31400036›Full record

ArticleMagnetic resonance in medicine2020

Retrospective correction of head motion using measurements from an electromagnetic tracker.

Onur Afacan, Tess E Wallace, Simon K Warfield

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  9. External Hardware and Sensors, for Improved MRI.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  10. Article
  11. Rigid motion-resolvedMagnetic resonance in medicine · 2022
    Article
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  16. Simultaneous Motion and Distortion Correction Using Dual-Echo Diffusion-Weighted MRI.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020
    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

3 authors at 1 institution in 1 country.

Onur AfacanComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-2112-3205
Tess E WallaceComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-8519-5913
Simon K WarfieldComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
Boston Children's Hospital · US

Funding

Mouse Neurodevelopmental Behavior CoreU54HD090255 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI POMEROY, SCOTT LOREN · 2016 to 2020
$5.2M
Improved Motion Robust MRI of ChildrenR01EB019483 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2015 to 2024
$3.9M
MRI Biomarkers of Patients with Tuberous Sclerosis Complex and AutismR01NS079788 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2013 to 2017
$3.6M
Prospective/Retrospective Motion Correction System for Motion Robust Pediatric MRIR44MH086984 · NIMH · ROBIN MEDICAL, INC. · PI NEVO, EREZ, WARFIELD, SIMON K · 2016 to 2018
$2.4M
Novel MRI Imaging Tools and Software for Assessing Pediatric Crohn's DiseaseR01DK100404 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2014 to 2018
$1.9M
NIBIB NIH HHS R01 EB019483NICHD NIH HHS U54 HD090255NIDDK NIH HHS R01 DK100404NIMH NIH HHS R44 MH086984NINDS NIH HHS R01 NS079788
6 · The paper itself

Abstract

purposeTo investigate the feasibility of using an electromagnetic (EM) tracker to estimate rigid body head motion parameters, and using these measurements to retrospectively reduce motion artifacts. THEORY AND

methodsA clinically used MPRAGE sequence was modified to measure motion using the EM tracking system once per repetition time. A retrospective k-space based motion correction algorithm that corrects for phase ramps (translation in image domain) and rotation of 3D k-space (rotation in image domain) was developed, using the parameters recorded using an EM tracker. The accuracy of the EM tracker for the purpose of motion measurement and correction was tested in phantoms, volunteers, and pediatric patients.

resultsPosition localization was accurate to the order of 200 microns compared with registration localization in a phantom study. The quality of reconstructed images was assessed by computing the root mean square error, the structural similarity metric and average edge strength. Image quality improved consistently when motion correction was applied in both volunteer scans with deliberate head motion and in pediatric patient scans. In patients, the average edge strength improved significantly with retrospective motion correction, compared with images with no correction applied.

conclusionsEM tracking was effective in measuring head motion in the MRI scanner with high accuracy, and enabled retrospective reconstruction to improve image quality by reducing motion artifacts.

Indexed as

Head MovementsAlgorithmsBrainCalibrationChildChild, PreschoolElectromagnetic PhenomenaElectromagnetic RadiationHeadHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingPhantoms, ImagingRetrospective StudiesSkinexternal trackersmotion correctionpediatric MRI

Identifiers

PMID31400036
PMCPMC6824937
OpenAlexW2968833217

What OpenQuestion holds

Textmetadata
LicenceTDM
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.