Evidence map›Paper›PMID 36441743›Full record

ArticleMagnetic resonance in medicine2023

Shimming toolbox: An open-source software toolbox for B0 and B1 shimming in MRI.

Alexandre D'Astous, Gaspard Cereza, Daniel Papp, Kyle M Gilbert, Jason P Stockmann, Eva Alonso-Ortiz, Julien Cohen-Adad

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  3. A vendor-neutral functional MRI acquisition protocol for multi-site studies.medRxiv : the preprint server for health sciences · 2025
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  4. Article
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  7. Dynamic BMagnetic resonance in medicine · 2025
    Article
  8. Article
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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.

Alexandre D'AstousNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Quebec, Canada.ORCID 0000-0003-0381-7334
Gaspard CerezaNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Quebec, Canada.
Daniel PappNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Quebec, Canada.ORCID 0000-0003-1481-1413
Kyle M GilbertCentre for Functional and Metabolic Mapping, The University of Western Ontario, London, Ontario, Canada.ORCID 0000-0003-3026-5686
Jason P StockmannAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0001-8454-5347
Eva Alonso-OrtizNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Quebec, Canada.ORCID 0000-0001-6590-7234
Julien Cohen-AdadNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Quebec, Canada.ORCID 0000-0003-3662-9532
Polytechnique Montréal · CACentre Hospitalier Universitaire Sainte-Justine · CAHarvard University · USWestern University · CA

Funding

Open-source software and hardware tools for local B0 field controlU24EB028984 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI STOCKMANN, JASON P · 2019 to 2021
$964k
CIHR CIHR FDN-143263Mila-Tech Transfer Funding Program R00EB021349Mila-Tech Transfer Funding Program R01EB028797NIBIB NIH HHS U24 EB028984
6 · The paper itself

Abstract

purposeIntroduce Shimming Toolbox ( https://shimming-toolbox.org), an open-source software package for prototyping new methods and performing static, dynamic, and real-time B0 shimming as well as B1 shimming experiments.

methodsShimming Toolbox features various field mapping techniques, manual and automatic masking for the brain and spinal cord, B0 and B1 shimming capabilities accessible through a user-friendly graphical user interface. Validation of Shimming Toolbox was demonstrated in three scenarios: (i) B0 dynamic shimming in the brain at 7T using custom AC/DC coils, (ii) B0 real-time shimming in the spinal cord at 3T, and (iii) B1 static shimming in the spinal cord at 7T.

resultsThe B0 dynamic shimming of the brain at 7T took about 10 min to perform. It showed a 47% reduction in the standard deviation of the B0 field, associated with noticeable improvements in geometric distortions in EPI images. Real-time dynamic xyz-shimming in the spinal cord took about 5 min and showed a 30% reduction in the standard deviation of the signal distribution. B1 static shimming experiments in the spinal cord took about 10 min to perform and showed a 40% reduction in the coefficient of variation of the B1 field.

conclusionShimming Toolbox provides an open-source platform where researchers can collaborate, prototype and conveniently test B0 and B1 shimming experiments. Future versions will include additional field map preprocessing techniques, optimization algorithms, and compatibility across multiple MRI manufacturers.

Indexed as

Magnetic Resonance ImagingSoftwareAlgorithmsBrainImage Processing, Computer-AssistedB0B1inhomogeneitiesMRIopen-source softwareparallel transmitPythonshimming

Identifiers

PMID36441743
PMCPMC9910837
OpenAlexW4310089684

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.