Evidence map›Paper›PMID 42436727›Full record

ArticleMagnetic resonance letters2026

Effect of basis choice on quantitative parameter estimation in accelerated subspace reconstructions.

Haoran Bai, Ke Dai, Yueqi Qiu, Jianfeng Bao, Xiao Wang, Yong Zhang, Hao Chen, Zhiyong Zhang, Philip K Lee

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance letters, 2026. 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

9 authors.

Haoran BaiSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Ke DaiSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Yueqi QiuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Jianfeng BaoFunctional Magnetic Resonance and Molecular Imaging Key Laboratory of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Xiao WangFunctional Magnetic Resonance and Molecular Imaging Key Laboratory of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Yong ZhangFunctional Magnetic Resonance and Molecular Imaging Key Laboratory of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Hao ChenSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Zhiyong ZhangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Philip K LeeSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work assesses the effects of different simulated and data-driven subspaces on quantitative parameter estimation in highly accelerated subspace reconstructions. Three different methods for generating basis were applied in a locally low rank subspace reconstruction: (1) a data-driven basis derived from fully sampled low-resolution data, (2) a simulated basis from a dictionary with uniform

Indexed as

Compressed sensingQuantitative MRISubspace reconstructions

Identifiers

PMID42436727
PMCPMC13355764

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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.