Evidence map›Paper›PMID 34390505›Full record

ArticleMagnetic resonance in medicine2022

Scout accelerated motion estimation and reduction (SAMER).

Daniel Polak, Daniel Nicolas Splitthoff, Bryan Clifford, Wei-Ching Lo, Susie Y Huang, John Conklin, Lawrence L Wald, Kawin Setsompop, Stephen Cauley

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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  9. Motion-corrected brain MRI at ultralow field (64 mT).Magnetic resonance in medicine · 2025
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  13. Review
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  16. Data Consistent Deep Rigid MRI Motion Correction.Proceedings of machine learning research · 2024
    Article
  17. Article
  18. Motion-Aware Neural Networks Improve Rigid Motion Correction of Accelerated Segmented Multislice MRI.Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition · 2023
    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

9 authors at 5 institutions in 2 countries.

Daniel PolakDepartment of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0001-9781-1528
Daniel Nicolas SplitthoffSiemens Healthcare GmbH, Erlangen, Germany.
Bryan CliffordSiemens Medical Solutions, Boston, Massachusetts, USA.ORCID 0000-0002-1966-0581
Wei-Ching LoSiemens Medical Solutions, Boston, 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.
Lawrence L WaldDepartment of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0001-8278-6307
Kawin SetsompopDepartment of Radiology, Stanford School of Medicine, Stanford, California, USA.ORCID 0000-0003-0455-7634
Stephen CauleyDepartment of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Harvard University · USSiemens (United States) · USMassachusetts General Hospital · USSiemens Healthineers (Germany) · DEStanford Medicine · 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 EB025121
6 · The paper itself

Abstract

purposeTo demonstrate a navigator/tracking-free retrospective motion estimation technique that facilitates clinically acceptable reconstruction time.

methodsScout accelerated motion estimation and reduction (SAMER) uses a single 3-5 s, low-resolution scout scan and a novel sequence reordering to independently determine motion states by minimizing the data-consistency error in a SENSE plus motion forward model. This eliminates time-consuming alternating optimization as no updates to the imaging volume are required during the motion estimation. The SAMER approach was assessed quantitatively through extensive simulation and was evaluated in vivo across multiple motion scenarios and clinical imaging contrasts. Finally, SAMER was synergistically combined with advanced encoding (Wave-CAIPI) to facilitate rapid motion-free imaging.

resultsThe highly accelerated scout provided sufficient information to achieve accurate motion trajectory estimation (accuracy ~0.2 mm or degrees). The novel sequence reordering improved the stability of the motion parameter estimation and image reconstruction while preserving the clinical imaging contrast. Clinically acceptable computation times for the motion estimation (~4 s/shot) are demonstrated through a fully separable (non-alternating) motion search across the shots. Substantial artifact reduction was demonstrated in vivo as well as corresponding improvement in the quantitative error metric. Finally, the extension of SAMER to Wave-encoding enabled rapid high-quality imaging at up to R = 9-fold acceleration.

conclusionSAMER significantly improved the computational scalability for retrospective motion estimation and correction.

Indexed as

ArtifactsImage Processing, Computer-AssistedAlgorithmsComputer SimulationMagnetic Resonance ImagingMotionRetrospective Studiesparallel imagingretrospective motion correctionwave-CAIPI

Identifiers

PMID34390505
PMCPMC8616778
OpenAlexW3193106382

What OpenQuestion holds

Textmetadata
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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.