Evidence map›Paper›PMID 34398991›Full record

ArticleMagnetic resonance in medicine2022

Motion-robust quantitative multiparametric brain MRI with motion-resolved MR multitasking.

Sen Ma, Nan Wang, Yibin Xie, Zhaoyang Fan, Debiao Li, Anthony G Christodoulou

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Cramér-Rao Bound Optimized Subspace Reconstruction in Quantitative MRI.IEEE transactions on bio-medical engineering · 2025
    Article
  3. Article
  4. Three-dimensional simultaneous brain mapping of T1, T2,Magnetic resonance in medicine · 2022
    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.

Sen MaBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0001-9715-7706
Nan WangBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0002-7616-8083
Yibin XieBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Zhaoyang FanBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0002-2693-0260
Debiao LiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Anthony G ChristodoulouBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.ORCID 0000-0002-9334-8684

Funding

Motion-Resolved, Comprehensive Quantitative Tissue Characterization Using MR MultitaskingR01EB028146 · NIBIB · CEDARS-SINAI MEDICAL CENTER · PI CHRISTODOULOU, ANTHONY G, LI, DEBIAO · 2019 to 2022
$2.5M
NIBIB NIH HHS R01 EB028146
6 · The paper itself

Abstract

purposeTo address head motion in brain MRI with a novel motion-resolved imaging framework, with application to motion-robust quantitative multiparametric mapping.

methodsMR multitasking conceptualizes the underlying multiparametric image in the presence of motion as a multidimensional low-rank tensor. By incorporating a motion-state dimension into the parameter dimensions and introducing unsupervised motion-state binning and outlier motion reweighting mechanisms, the brain motion can be readily resolved for motion-robust quantitative imaging. A numerical motion phantom was used to simulate different discrete and periodic motion patterns under various translational and rotational scenarios, as well as investigate the sensitivity to exceptionally small and large displacements. In vivo brain MRI was performed to also evaluate different real discrete and periodic motion patterns. The effectiveness of motion-resolved imaging for simultaneous T

resultsFor all 14 simulation scenarios of small, intermediate, and large motion displacements, the motion-resolved approach produced T

conclusionMotion-resolved quantitative brain imaging is achieved with multitasking, which is generalizable to various head motion patterns without explicit need for registration-based motion correction.

Indexed as

BrainMagnetic Resonance ImagingArtifactsImage Processing, Computer-AssistedMotionPhantoms, Imagingbrain MRImotion-resolved imagingmotion-robustMR multitaskingquantitative multiparametric mapping

Identifiers

PMID34398991
PMCPMC8616852

What OpenQuestion holds

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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.