Evidence map›Paper›PMID 40000190›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2025

[Spherical measurement-based analysis of gradient nonlinearity in magnetic resonance imaging].

Xiaoli Yang, Zhaolian Wang, Qian Wang, Yiting Zhang, Zixuan Song, Yuchang Zhang, Yafei Qi, Xiaopeng Ma

Abstract readEnglish Abstract
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Xiaoli YangWeifang Xinli Superconducting Magnet Technology Co., Ltd., Weifang, Shandong 261071, P. R. China.
Zhaolian WangWeifang Xinli Superconducting Magnet Technology Co., Ltd., Weifang, Shandong 261071, P. R. China.
Qian WangWeifang Xinli Superconducting Magnet Technology Co., Ltd., Weifang, Shandong 261071, P. R. China.
Yiting ZhangWeifang Xinli Superconducting Magnet Technology Co., Ltd., Weifang, Shandong 261071, P. R. China.
Zixuan SongWeifang Xinli Superconducting Magnet Technology Co., Ltd., Weifang, Shandong 261071, P. R. China.
Yuchang ZhangWeifang Xinli Superconducting Magnet Technology Co., Ltd., Weifang, Shandong 261071, P. R. China.
Yafei QiDepartment of Radiology, Qilu Hospital of Shandong University, Jinan 250012, P. R. China.
Xiaopeng MaSchool of Control Science and Engineering, Shandong University, Jinan 250061, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gradient field, one of the core magnetic fields in magnetic resonance imaging (MRI) systems, is generated by gradient coils and plays a critical role in spatial encoding and the generation of echo signals. The uniformity or linearity of the gradient field directly impacts the quality and distortion level of MRI images. However, traditional point measurement methods lack accuracy in assessing the linearity of gradient fields, making it difficult to provide effective parameters for image distortion correction. This paper introduced a spherical measurement-based method that involved measuring the magnetic field distribution on a sphere, followed by detailed magnetic field calculations and linearity analysis. This study, applied to assess the nonlinearity of asymmetric head gradient coils, demonstrated more comprehensive and precise results compared to point measurement methods. This advancement not only strengthens the scientific basis for the design of gradient coils but also provides more reliable parameters and methods for the accurate correction of MRI image distortions.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingAlgorithmsHumansMagnetic FieldsNonlinear DynamicsPhantoms, ImagingGradient coilsGradient magnetic field calculationGradient nonlinearityMagnetic resonance imaging

Identifiers

PMID40000190
PMCPMC11955346

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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.