Evidence map›Paper›PMID 36093989›Full record

ArticleMagnetic resonance in medicine2022

Real-time shimming with FID navigators.

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

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Motion- and Field-Robust Mesoscopic Whole-BrainMagnetic resonance in medicine · 2026
    Article
  4. Article
  5. Article
  6. Prospective motion correction forMagnetic resonance in medicine · 2025
    Article
  7. Review
  8. 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

6 authors at 3 institutions in 2 countries.

Tess E WallaceComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-8519-5913
Tobias KoberAdvanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.ORCID 0000-0001-7598-9456
Jason P StockmannDepartment of Radiology, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-8454-5347
Jonathan R PolimeniDepartment of Radiology, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-1348-1179
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 · USSiemens (Switzerland) · CH

Funding

Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9M
Improved Motion Robust MRI of ChildrenR01EB019483 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2015 to 2024
$3.9M
System Upgrade for Siemens 7T Human MRI SystemS10OD023637 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI WALD, LAWRENCE L · 2017 to 2017
$2.0M
Acquisition of a Siemens 3T MRI for Research ImagingS10OD025111 · OD · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2018 to 2018
$2.0M
Advancing Microstructural and Vascular Neuroimaging in Perinatal StrokeR01NS106030 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2019 to 2023
$1.7M
Motion and Distortion Robust Diffusion Weighted Imaging Sequences for Pediatric PatientsR01NS121657 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI Onur Afacan · 2022 to 2026
$1.7M
NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB019483NIH HHS S10 OD023637NIH HHS S10 OD025111NINDS NIH HHS R01 NS106030NINDS NIH HHS R01 NS121657
6 · The paper itself

Abstract

purposeTo implement a method for real-time field control using rapid FID navigator (FIDnav) measurements and evaluate the efficacy of the proposed approach for mitigating dynamic field perturbations and improving

methodsFIDnavs were embedded in a gradient echo sequence and a subject-specific linear calibration model was generated on the scanner to facilitate rapid shim updates in response to measured FIDnav signals. To confirm the accuracy of FID-navigated field updates, phantom and volunteer scans were performed with online updates of the scanner B

resultsApplying measured FIDnav shim updates successfully compensated for applied global and linear field offsets in phantoms and across all volunteers. FID-navigated real-time shimming led to a substantial reduction in field fluctuations and a consequent improvement in

conclusionFIDnavs facilitate rapid measurement and application of field coefficients for slice-wise B

Indexed as

BrainMagnetic Resonance ImagingCalibrationHumansImage Processing, Computer-AssistedLinear ModelsPhantoms, Imagingartifact correctionB0 inhomogeneityFID navigatorsreal-time shimming

Identifiers

PMID36093989
PMCPMC9529812
OpenAlexW4295249743

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.