Evidence map›Paper›PMID 40760467›Full record

ArticleHuman brain mapping2025

Improving the Quality of Brain PET Images Using MR-Guided PET Reconstruction Technique With Integrated PET/MR.

Hongda Shao, Gan Huang, Yue Wang, Yan Zhang, Qiaoyi Xue, Jiaxin Hao, Jianjun Liu

Abstract read
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Hongda ShaoDepartment of Nuclear Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-2331-3486
Gan HuangDepartment of Nuclear Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yue WangDepartment of Nuclear Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yan ZhangDepartment of Nuclear Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qiaoyi XueCentral Research Institute, UIH Group, Shanghai, China.
Jiaxin HaoCentral Research Institute, UIH Group, Shanghai, China.
Jianjun LiuDepartment of Nuclear Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-6391-2849

Funding

National Natural Science Foundation of China 82171896National Natural Science Foundation of China 92259103
6 · The paper itself

Abstract

To evaluate the performance of an MR-guided PET reconstruction method in enhancing the image quality of brain PET images acquired with an integrated PET/MR system. We implemented an MR-guided PET reconstruction (MRg) algorithm in an integrated PET/MR system and conducted both phantom and clinical studies. The PET images of a Hoffman phantom were reconstructed using the MRg algorithm and routine Ordered Subsets Expectation Maximization (OSEM) algorithm. Image quality metrics were calculated to investigate the dose effects, number of iterations, and penalization factor (β). In the clinical study, the PET images of 30 patients without brain lesions, two patients with diffuse large B cell lymphoma (DLBCL), 18 patients with Parkinson's disease (PD) and one patient with cavernous angioma were reconstructed using MRg and OSEM, respectively. Qualitative and quantitative assessments were performed. In the phantom study, MRg images demonstrated improved image quality metrics (higher contrast and lower variability) compared to conventional OSEM, particularly at lower doses. The penalization factor

Indexed as

BrainImage Processing, Computer-AssistedMagnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyAdultAgedAlgorithmsBrain NeoplasmsFemaleHemangioma, Cavernous, Central Nervous SystemHumansLymphoma, Large B-Cell, DiffuseMaleMiddle AgedParkinson Diseasebrain PET/MRimage qualityMR‐guided PET reconstructionPET/MR

Identifiers

PMID40760467
PMCPMC12321589

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.