Evidence map›Paper›PMID 32726510›Full record

ArticleMagnetic resonance in medicine2021

Accelerated J-resolved

Lihong Tang, Yibo Zhao, Yudu Li, Rong Guo, Bryan Clifford, Georges El Fakhri, Chao Ma, Zhi-Pei Liang, Jie Luo

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  5. High-resolution, 3D multi-TEMagnetic 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

9 authors at 3 institutions in 2 countries.

Lihong TangInstitute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0003-4018-7423
Yibo ZhaoBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Yudu LiBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Rong GuoBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0003-0405-3268
Bryan CliffordBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Georges El FakhriDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Chao MaDepartment of Radiology, Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-2016-8084
Zhi-Pei LiangBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Jie LuoInstitute for Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-0543-4778
University of Illinois Urbana-Champaign · USHarvard University · USShanghai Jiao Tong University · CN

Funding

Unified Joint Statistical Reconstruction of PET & MRP41EB022544 · NIBIB · YALE UNIVERSITY · PI Georges El Fakhri · 2017 to 2026
$14.8M
NIBIB NIH HHS P41 EB022544
6 · The paper itself

Abstract

purposeTo accelerate the acquisition of J-resolved proton magnetic resonance spectroscopic imaging (

methodsThe proposed method used a subspace model to represent multidimensional spatiospectral functions, which significantly reduced the number of parameters to be determined from J-resolved

resultsFeasibility of the proposed method was evaluated using both simulated and experimental data from a spectroscopic phantom. The phantom experimental results showed that the proposed method, with a factor of 12 acceleration in data acquisition, could determine the distribution of J-coupled molecules with expected accuracy. In vivo study with healthy human subjects also showed that 3D maps of brain metabolites and neurotransmitters can be obtained with a nominal spatial resolution of 3.0 × 3.0 × 4.8 mm

conclusionsThis work demonstrated the feasibility of highly accelerated J-resolved

Indexed as

AlgorithmsMagnetic Resonance ImagingBrainHumansImage Processing, Computer-AssistedPhantoms, Imagingaccelerated imagingJ-resolved 1H-MRSIspectral quantificationSPICEsubspace models

Identifiers

PMID32726510
PMCPMC7992196
OpenAlexW3045564891

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.