Evidence map›Paper›PMID 34687073›Full record

ArticleMagnetic resonance in medicine2022

QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping.

Ashley Wilton Stewart, Simon Daniel Robinson, Kieran O'Brien, Jin Jin, Georg Widhalm, Gilbert Hangel, Angela Walls, Jonathan Goodwin, Korbinian Eckstein, Monique Tourell and 4 more

Abstract 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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Ashley Wilton StewartARC Training Centre for Innovation in Biomedical Imaging Technology, University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-5951-5952
Simon Daniel RobinsonCentre for Advanced Imaging, University of Queensland, Brisbane, Australia.
Kieran O'BrienARC Training Centre for Innovation in Biomedical Imaging Technology, University of Queensland, Brisbane, Queensland, Australia.
Jin JinARC Training Centre for Innovation in Biomedical Imaging Technology, University of Queensland, Brisbane, Queensland, Australia.
Georg WidhalmDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Gilbert HangelDepartment of Biomedical Imaging and Image-Guided Therapy, High Field MR Center, Medical University of Vienna, Vienna, Austria.
Angela WallsClinical & Research Imaging Centre, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Jonathan GoodwinDepartment of Radiation Oncology, Calvary Mater Hospital, Newcastle, New South Wales, Australia.
Korbinian EcksteinDepartment of Biomedical Imaging and Image-Guided Therapy, High Field MR Center, Medical University of Vienna, Vienna, Austria.
Monique TourellARC Training Centre for Innovation in Biomedical Imaging Technology, University of Queensland, Brisbane, Queensland, Australia.
Catherine MorganSchool of Psychology and Centre for Brain Research, The University of Auckland, Auckland, New Zealand.
Aswin NarayananCentre for Advanced Imaging, University of Queensland, Brisbane, Australia.
Markus BarthARC Training Centre for Innovation in Biomedical Imaging Technology, University of Queensland, Brisbane, Queensland, Australia.
Steffen BollmannARC Training Centre for Innovation in Biomedical Imaging Technology, University of Queensland, Brisbane, Queensland, Australia.

Funding

Austrian Science Fund FWF KLI 646Austrian Science Fund FWF P 31452
6 · The paper itself

Abstract

purposeQuantitative susceptibility mapping (QSM) estimates the spatial distribution of tissue magnetic susceptibilities from the phase of a gradient-echo signal. QSM algorithms require a signal mask to delineate regions with reliable phase for subsequent susceptibility estimation. Existing masking techniques used in QSM have limitations that introduce artifacts, exclude anatomical detail, and rely on parameter tuning and anatomical priors that narrow their application. Here, a robust masking and reconstruction procedure is presented to overcome these limitations and enable automated QSM processing. Moreover, this method is integrated within an open-source software framework: QSMxT.

methodsA robust masking technique that automatically separates reliable from less reliable phase regions was developed and combined with a two-pass reconstruction procedure that operates on the separated sources before combination, extracting more information and suppressing streaking artifacts.

resultsCompared with standard masking and reconstruction procedures, the two-pass inversion reduces streaking artifacts caused by unreliable phase and high dynamic ranges of susceptibility sources. It is also robust across a range of acquisitions at 3 T in volunteers and phantoms, at 7 T in tumor patients, and in an in silico head phantom, with significant artifact and error reductions, greater anatomical detail, and minimal parameter tuning.

conclusionThe two-pass masking and reconstruction procedure separates reliable from less reliable phase regions, enabling a more accurate QSM reconstruction that mitigates artifacts, operates without anatomical priors, and requires minimal parameter tuning. The technique and its integration within QSMxT makes QSM processing more accessible and robust to streaking artifacts.

Indexed as

ArtifactsMagnetic Resonance ImagingAlgorithmsBrainBrain MappingHumansImage Processing, Computer-AssistedPhantoms, ImagingQSM maskingQSM pipelineQSM softwarequantitative imagingquantitative susceptibility mapping (QSM)

Identifiers

PMID34687073
PMCPMC7612305

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.