Evidence map›Paper›PMID 30890508›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2019

[Key technologies in digital breast tomosynthesis system:theory, design, and optimization].

Mingqiang Li, Kun Ma, Xi Tao, Yongbo Wang, Ji He, Ziquan Wei, Geofeng Chen, Sui Li, Dong Zeng, Zhaoying Bian and 3 more

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2019. 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
0.3field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. [Assessment of imaging performance of digital breast tomosynthesis based on systematic simulation].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021
    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

13 authors at 1 institution in 1 country.

Mingqiang LiSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Kun MaSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Xi TaoSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Yongbo WangSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Ji HeSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Ziquan WeiSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Geofeng ChenSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Sui LiSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Dong ZengSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Zhaoying BianSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Guohui WuShenzhen Anke High Technology Co. Ltd., Shenzhen 518100, China.
Shan LiaoShenzhen Anke High Technology Co. Ltd., Shenzhen 518100, China.
Jianhua MaSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a digital breast tomosynthesis (DBT) imaging system with optimizes imaging chain.

methodsBased on 3D tomography and DBT imaging scanning, we analyzed the methods for projection data correction, geometric correction, projection enhancement, filter modulation, and image reconstruction, and established a hardware testing platform. In the experiment, the standard ACR phantom and high-resolution phantom were used to evaluate the system stability and noise level. The patient projection data of commercial equipment was used to test the effect of the imaging algorithm.

resultsIn the high-resolution phantom study, the line pairs were clear without confusing artifacts in the images reconstructed with the geometric correction parameters. In ACR phantom study, the calcified foci, cysts, and fibrous structures were more clearly defined in the reconstructed images after filtering and modulation. The patient data study showed a high contrast between tissues, and the lesions were more clearly displayed in the reconstructed image.

conclusionsThis DBT imaging system can be used for mammary tomography with an image quality comparable to that of commercial DBT systems to facilitate imaging diagnosis of breast diseases.

Indexed as

Phantoms, ImagingAlgorithmsArtifactsBreastFemaleHumansMammographyRadiographic Image Enhancementdigital breast tomosynthesisfiltered back projectiongeometric correctionimage chain design and optimizationprojection enhancement

Identifiers

PMID30890508
PMCPMC6765633
OpenAlexW2991036652

What OpenQuestion holds

Textmetadata
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.