Evidence map›Paper›PMID 36744619›Full record

ArticleMagnetic resonance in medicine2023

Motion guidance lines for robust data consistency-based retrospective motion correction in 2D and 3D MRI.

Daniel Polak, Julian Hossbach, Daniel Nicolas Splitthoff, Bryan Clifford, Wei-Ching Lo, Azadeh Tabari, Min Lang, Susie Y Huang, John Conklin, Lawrence L Wald and 1 more

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

11 authors at 4 institutions in 3 countries.

Daniel PolakDepartment of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0001-9781-1528
Julian HossbachSiemens Healthcare, Erlangen, Germany.
Daniel Nicolas SplitthoffSiemens Healthcare, Erlangen, Germany.
Bryan CliffordSiemens Medical Solutions, Boston, Massachusetts, USA.ORCID 0000-0002-1966-0581
Wei-Ching LoSiemens Medical Solutions, Boston, Massachusetts, USA.
Azadeh TabariDepartment of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Min LangDepartment of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Susie Y HuangDepartment of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
John ConklinDepartment of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0001-9921-2086
Lawrence L WaldDepartment of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Stephen CauleyDepartment of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Harvard University · USMedical Solutions · GBSiemens Healthineers (Germany) · DEMassachusetts General Hospital · US

Funding

Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9M
A magnetic particle imager (MPI) for functional brain imaging in humansU01EB025121 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WALD, LAWRENCE L · 2017 to 2022
$6.1M
NIBIB NIH HHS P41 EB030006NIBIB NIH HHS U01 EB025121NIH HHS 1P41EB030006-01NIH HHS 5U01EB025121-03
6 · The paper itself

Abstract

purposeTo develop a robust retrospective motion-correction technique based on repeating k-space guidance lines for improving motion correction in Cartesian 2D and 3D brain MRI.

methodsThe motion guidance lines are inserted into the standard sequence orderings for 2D turbo spin echo and 3D MPRAGE to inform a data consistency-based motion estimation and reconstruction, which can be guided by a low-resolution scout. The extremely limited number of required guidance lines are repeated during each echo train and discarded in the final image reconstruction. Thus, integration within a standard k-space acquisition ordering ensures the expected image quality/contrast and motion sensitivity of that sequence.

resultsThrough simulation and in vivo 2D multislice and 3D motion experiments, we demonstrate that respectively 2 or 4 optimized motion guidance lines per shot enables accurate motion estimation and correction. Clinically acceptable reconstruction times are achieved through fully separable on-the-fly motion optimizations (˜1 s/shot) using standard scanner GPU hardware.

conclusionThe addition of guidance lines to scout accelerated motion estimation facilitates robust retrospective motion correction that can be effectively introduced without perturbing standard clinical protocols and workflows.

Indexed as

BrainMagnetic Resonance ImagingComputer SimulationImage Processing, Computer-AssistedImaging, Three-DimensionalMotionRetrospective Studiesmotion correctionparallel imaging

Identifiers

PMID36744619
PMCPMC10518424
OpenAlexW4319294410

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.