Evidence map›Paper›PMID 31754257›Full record

ArticleScientific reports2019

High-contrast photoacoustic imaging through scattering media using correlation detection of adaptive time window.

Liqi Yu, Jialin Sun, Xinjing Lv, Qi Feng, Huimei He, Bin Zhang, Yingchun Ding, Qiang Liu

Abstract read
In one paragraph

Article in Scientific reports, 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
–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

8 authors.

Liqi YuCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing, 100029, China.
Jialin SunCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing, 100029, China.
Xinjing LvCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing, 100029, China.
Qi FengCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing, 100029, China.
Huimei HeCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing, 100029, China.
Bin ZhangState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing, 100084, China.
Yingchun DingCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing, 100029, China. dingyc@mail.buct.edu.cn.
Qiang LiuState Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing, 100084, China. qiangliu@mail.tsinghua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic imaging has the advantages of high contrast and deep imaging depth. However, with the increasing of imaging depth, the signal-to-noise ratio (SNR) of the detected signal decreases, due to the light scattering that seriously affects the recovery image quality. In this paper, we experimentally demonstrated that higher contrast photoacoustic imaging was achieved using photoacoustic wavefront shaping technology in the presence of light scattering and low SNR signals. The imaging contrast is improved from 1.51 to 5.30. More importantly, we propose a dynamic time window method for the photoacoustic signal extraction algorithm, named correlation detection of adaptive time window, which further improves the contrast of photoacoustic imaging to 9.57. Our method effectively improves the contrast of photoacoustic imaging through scattering media.

Identifiers

PMID31754257
PMCPMC6872817

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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.