Evidence map›Paper›PMID 37548414›Full record

ArticleHuman brain mapping2023

Improved dynamic distortion correction for fMRI using single-echo EPI and a readout-reversed first image (REFILL).

Simon Daniel Robinson, Beata Bachrata, Korbinian Eckstein, Saskia Bollmann, Steffen Bollmann, Shota Hodono, Martijn Cloos, Monique Tourell, Jin Jin, Kieran O'Brien and 4 more

Abstract read
In one paragraph

Article in Human brain mapping, 2023. 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
–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.

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.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Cerebellar imaging for neuroscience at 9.4 T.Magnetic resonance in medicine · 2025
    Article
  6. Accelerated Navigator for Rapid ∆BNMR in biomedicine · 2025
    Article
  7. Article
  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

14 authors.

Simon Daniel RobinsonCentre of Advanced Imaging, University of Queensland, Brisbane, Australia.ORCID 0000-0001-7463-5162
Beata BachrataHigh Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-3352-8966
Korbinian EcksteinHigh Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-4538-7072
Saskia BollmannCentre of Advanced Imaging, University of Queensland, Brisbane, Australia.ORCID 0000-0001-8242-8008
Steffen BollmannSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-2909-0906
Shota HodonoCentre of Advanced Imaging, University of Queensland, Brisbane, Australia.ORCID 0000-0002-8107-5682
Martijn CloosCentre of Advanced Imaging, University of Queensland, Brisbane, Australia.ORCID 0000-0002-0636-234X
Monique TourellCentre of Advanced Imaging, University of Queensland, Brisbane, Australia.ORCID 0000-0001-6664-0674
Jin JinSiemens Healthcare Pty Ltd., Brisbane, Australia.ORCID 0000-0001-6357-9329
Kieran O'BrienSiemens Healthcare Pty Ltd., Brisbane, Australia.ORCID 0000-0002-5843-9361
David C ReutensCentre of Advanced Imaging, University of Queensland, Brisbane, Australia.ORCID 0000-0002-1652-9369
Siegfried TrattnigHigh Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-1623-3303
Christian EnzingerDepartment of Neurology, Medical University of Graz, Graz, Austria.ORCID 0000-0001-9764-7617
Markus BarthCentre of Advanced Imaging, University of Queensland, Brisbane, Australia.ORCID 0000-0002-0520-1843

Funding

Austrian Science Fund FWF P 31452
6 · The paper itself

Abstract

The boundaries between tissues with different magnetic susceptibilities generate inhomogeneities in the main magnetic field which change over time due to motion, respiration and system instabilities. The dynamically changing field can be measured from the phase of the fMRI data and corrected. However, methods for doing so need multi-echo data, time-consuming reference scans and/or involve error-prone processing steps, such as phase unwrapping, which are difficult to implement robustly on the MRI host. The improved dynamic distortion correction method we propose is based on the phase of the single-echo EPI data acquired for fMRI, phase offsets calculated from a triple-echo, bipolar reference scan of circa 3-10 s duration using a method which avoids the need for phase unwrapping and an additional correction derived from one EPI volume in which the readout direction is reversed. This Reverse-Encoded First Image and Low resoLution reference scan (REFILL) approach is shown to accurately measure B

Indexed as

BrainBrain MappingEcho-Planar ImagingArtifactsHumansdynamic distortion correctionfMRIsusceptibilityultra-high field

Identifiers

PMID37548414
PMCPMC10502646

What OpenQuestion holds

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LicenceCC BY
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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.