Evidence map›Paper›PMID 35680924›Full record

ArticleNature communications2022

A boundary migration model for imaging within volumetric scattering media.

Dongyu Du, Xin Jin, Rujia Deng, Jinshi Kang, Hongkun Cao, Yihui Fan, Zhiheng Li, Haoqian Wang, Xiangyang Ji, Jingyan Song

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Dongyu DuShenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.ORCID http://orcid.org/0000-0003-2298-9721
Xin JinShenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China. jin.xin@sz.tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-6655-3888
Rujia DengShenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.ORCID http://orcid.org/0000-0003-0592-1047
Jinshi KangShenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.ORCID http://orcid.org/0000-0001-5721-6038
Hongkun CaoShenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.
Yihui FanShenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.
Zhiheng LiShenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China. li.zhiheng@sz.tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-5403-720X
Haoqian WangShenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.ORCID http://orcid.org/0000-0003-2792-8469
Xiangyang JiDepartment of Automation, Tsinghua University, 100084, Beijing, China.ORCID http://orcid.org/0000-0002-7333-9975
Jingyan SongTsinghua Innovation Center in Zhuhai, 519080, Zhuhai, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 61827804National Natural Science Foundation of China (National Science Foundation of China) 61991451National Natural Science Foundation of China (National Science Foundation of China) 62131011
6 · The paper itself

Abstract

Effectively imaging within volumetric scattering media is of great importance and challenging especially in macroscopic applications. Recent works have demonstrated the ability to image through scattering media or within the weak volumetric scattering media using spatial distribution or temporal characteristics of the scattered field. Here, we focus on imaging Lambertian objects embedded in highly scattering media, where signal photons are dramatically attenuated during propagation and highly coupled with background photons. We address these challenges by providing a time-to-space boundary migration model (BMM) of the scattered field to convert the scattered measurements in spectral form to the scene information in the temporal domain using all of the optical signals. The experiments are conducted under two typical scattering scenarios: 2D and 3D Lambertian objects embedded in the polyethylene foam and the fog, which demonstrate the effectiveness of the proposed algorithm. It outperforms related works including time gating in terms of reconstruction precision and scattering strength. Even though the proportion of signal photons is only 0.75%, Lambertian objects located at more than 25 transport mean free paths (TMFPs), corresponding to the round-trip scattering length of more than 50 TMFPs, can be reconstructed. Also, the proposed method provides low reconstruction complexity and millisecond-scale runtime, which significantly benefits its application.

Identifiers

PMID35680924
PMCPMC9184484

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Registered trials

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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.