Evidence map›Paper›PMID 32970869›Full record

ArticleMagnetic resonance in medicine2021

Dynamic distortion correction for functional MRI using FID navigators.

Tess E Wallace, Jonathan R Polimeni, Jason P Stockmann, W Scott Hoge, Tobias Kober, Simon K Warfield, Onur Afacan

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2021. 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
1.7field-weighted citation impact, top 13% 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, 23 citations in OpenAlex.

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  14. Real-time shimming with FID navigators.Magnetic resonance in medicine · 2022
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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

7 authors at 4 institutions in 2 countries.

Tess E WallaceComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-8519-5913
Jonathan R PolimeniDepartment of Radiology, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-1348-1179
Jason P StockmannDepartment of Radiology, Harvard Medical School, Boston, Massachusetts, USA.
W Scott HogeDepartment of Radiology, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-0944-2350
Tobias KoberAdvanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.ORCID 0000-0001-7598-9456
Simon K WarfieldComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-7659-3880
Onur AfacanComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA.ORCID 0000-0003-2112-3205
Boston Children's Hospital · USHarvard University · USBrigham and Women's Hospital · USSiemens (Switzerland) · CH

Funding

fMRI Technologies for Imaging at the Limit of Biological Spatiotemporal Resolution: Administrative SupplementR01EB019437 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO, SETSOMPOP, KAWIN · 2015 to 2024
$5.5M
Improving Human fMRI through Modeling and Imaging Microvascular Dynamics: Administrative SupplementR01MH111419 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO · 2016 to 2020
$4.9M
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
MRI technology for restoring brain image quality for pediatric patients with metallic orthodontic hardwareR01EB028797 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Berkin Bilgic, Jason P Stockmann · 2020 to 2026
$3.0M
Advancing Microstructural and Vascular Neuroimaging in Perinatal StrokeR01NS106030 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2019 to 2023
$1.7M
Improved imaging of deep brain nuclei with 7 Tesla MRI using comprehensive magnetic field monitoringR00EB021349 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI STOCKMANN, JASON P · 2018 to 2020
$747k
NIBIB NIH HHS R00 EB021349NIBIB NIH HHS R01 EB019437NIBIB NIH HHS R01 EB019483NIBIB NIH HHS R01 EB028797NIMH NIH HHS R01 MH111419NINDS NIH HHS R01 NS079788NINDS NIH HHS R01 NS106030
6 · The paper itself

Abstract

purposeTo develop a method for slice-wise dynamic distortion correction for EPI using rapid spatiotemporal B

methodsA low-resolution reference image was used to create a forward model of FIDnav signal changes to enable estimation of spatiotemporal B

resultsField inhomogeneity coefficients and voxel shift maps measured using FIDnavs were in excellent agreement with multi-echo EPI measurements. The FID-navigated distortion correction accurately corrected image geometry in the presence of induced magnetic field perturbations, outperforming the data-driven approach in regions with large field offsets. In functional MRI scans with nose touching, FIDnav-based correction yielded temporal SNR gains of 30% in gray matter. Following image realignment, which accounted for global image shifts, temporal SNR gains of 3% were achieved.

conclusionsOur proposed application of FIDnavs enables slice-wise dynamic distortion correction with high temporal efficiency. We achieved improved signal stability by leveraging the encoding information from multichannel coils. This approach can be easily adapted to other EPI-based sequences to improve temporal SNR for a variety of clinical and research applications.

Indexed as

Echo-Planar ImagingImage Processing, Computer-AssistedAlgorithmsArtifactsBrainHumansMagnetic Resonance ImagingB0 inhomogeneitydynamic distortion correctionEPI artifactsFID navigatorsfield mapfunctional MRI

Identifiers

PMID32970869
PMCPMC7718422
OpenAlexW3088488510

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.