Evidence map›Paper›PMID 37603164›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

A novel endoscopy image fusion system: combine white light imaging and compound band imaging.

Shipeng Zhang, Ye Fu, Xinran Zhang, Tianyu Xie, Zhe Zhao, Hongen Liao

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Shipeng ZhangDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.
Ye FuDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
Xinran ZhangDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.
Tianyu XieDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
Zhe ZhaoBeijing Tsinghua Changgung Hospital, Beijing, 102218, China. zhaozhao_02@163.com.
Hongen LiaoDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China. liao@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3847-9347
Tsinghua University · CNPeking University · CNBeijing Tsinghua Chang Gung Hospital · CN

Funding

2022YFC2405200 Development Program of China2022YFC2405200 National Key Research7212202 Beijing Municipal Natural Science Foundation82027807, U22A2051 National Natural Science Foundation of China
6 · The paper itself

Abstract

purposeWhite light imaging (WLI) is a commonly seen examination mode in endoscopy. The particular light in compound band imaging (CBI) can highlight delicate structures, such as capillaries and tiny structures on the mucosal surface. These two modes complement each other, and doctors switch between them manually to complete the examination. This paper proposes an endoscopy image fusion system to combine WLI and CBI.

methodsWe add a real-time rotatable color wheel in the light source device of the AQ-200 endoscopy system to achieve rapid imaging of two modes at the same position of living tissue. The two images corresponding to the pixel level can avoid registration and lay the foundation for image fusion. We propose a multi-scale image fusion framework, which involves Laplacian pyramid (LP) and convolutional sparse representation (CSR) and strengthens the details in the fusion rule.

resultsVolunteer experiments and ex vivo pig stomach trials are conducted to verify the feasibility of our proposed system. We also conduct comparative experiments with other image fusion methods, evaluate the quality of the fused images, and verify the effectiveness of our fusion framework. The results show that our fused image has rich details, high color contrast, apparent structures, and clear lesion boundaries.

conclusionAn endoscopy image fusion system is proposed, which does not change the doctor's operation and makes the fusion of WLI and CBI optical staining technology a reality. We change the light source device of the endoscope, propose an image fusion framework, and verify the feasibility and effectiveness of our scheme. Our method fully integrates the advantages of WLI and CBI, which can help doctors make more accurate judgments than before. The endoscopy image fusion system is of great significance for improving the detection rate of early lesions and has broad application prospects.

Indexed as

EndoscopyEndoscopy, GastrointestinalAnimalsHumansLightNarrow Band ImagingSwineCBICSREndoscopy systemImage fusionLPWLI

Identifiers

PMID37603164
OpenAlexW4386019427

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.