Evidence map›Paper›PMID 37799936›Full record

ArticleJournal of biomedical optics2023

Noise insensitive volumetric fusion method for enhanced photoacoustic microscopy.

Sihang Li, Hao Wu, Hongyu Zhang, Zhipeng Zhang, Qiugen Liu, Xianlin Song

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2023. 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

6 authors.

Sihang LiNanchang University, School of Information Engineering, Nanchang, China.
Hao WuNanchang University, Jiluan Academy, Nanchang, China.
Hongyu ZhangNanchang University, Jiluan Academy, Nanchang, China.
Zhipeng ZhangNanchang University, Jiluan Academy, Nanchang, China.
Qiugen LiuNanchang University, Jiluan Academy, Nanchang, China.ORCID 0000-0003-4717-2283
Xianlin SongNanchang University, Jiluan Academy, Nanchang, China.ORCID 0000-0002-0356-5977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Photoacoustic imaging is an emerging imaging modality that combines the high contrast of optical imaging and the high penetration of acoustic imaging. However, the strong focusing of the laser beam in optical-resolution photoacoustic microscopy (OR-PAM) leads to a limited depth-of-field (DoF). Aim: Here, a volumetric photoacoustic information fusion method was proposed to achieve large volumetric photoacoustic imaging at low cost. Approach: First, the initial decision map was built through the focus detection based on the proposed three-dimensional Laplacian operator. Majority filter-based consistency verification and Gaussian filter-based map smoothing were then utilized to generate the final decision map for the construction of photoacoustic imaging with extended DoF. Results: The performance of the proposed method was tested to show that our method can expand the limited DoF by a factor of 1.7 without the sacrifice of lateral resolution. Four sets of multi-focus vessel data at different noise levels were fused to verify the effectiveness and robustness of the proposed method. Conclusions: The proposed method can efficiently extend the DoF of OR-PAM under different noise levels.

Indexed as

MicroscopyPhotoacoustic TechniquesLightNormal DistributionSpectrum Analysisextended depth-of-fieldnoise insensitivephotoacoustic microscopyspatial domainvolumetric fusion

Identifiers

PMID37799936
PMCPMC10547913

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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.