Evidence map›Paper›PMID 37636546›Full record

ArticlePhotoacoustics2023

Adaptive polarization photoacoustic computed tomography for biological anisotropic tissue imaging.

Yang Zhang, Christ Glorieux, Shufan Yang, Kai Gu, Zhiying Xia, Ruijie Hou, Lianping Hou, Xuefeng Liu, Jichuan Xiong

Abstract read
In one paragraph

Article in Photoacoustics, 2023. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Yang ZhangSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Christ GlorieuxLaboratory for Soft Matter and Biophysics, Department of Physics and Astronomy, KU Leuven, Leuven B-3001, Belgium.
Shufan YangSchool of Computing, Edinburgh Napier University, Edinburgh, Scotland EH10 5DT, UK.
Kai GuSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Zhiying XiaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Ruijie HouSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Lianping HouJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
Xuefeng LiuSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Jichuan XiongSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most photoacoustic computed tomography (PACT) systems usually ignore the anisotropy of the tissue absorption coefficient, which will lead to the lack of information in reconstructed images. In this work, the effect is addressed of the possible optical absorption anisotropy of tissue on PACT images. The functional relationship is derived between the photoacoustic response and the polarization angle of the excitation light. An adaptive polarized light photoacoustic imaging (AP-PACT) approach is proposed and shown to make up for the lack of imaging information and achieve optimal image contrast when imaging samples with anisotropic optical absorption, by utilizing the standard deviation of photoacoustic response as the feedback signal in an adaptive data acquisition process. The method is implemented both on phantom and in vitro experiments, which show that AP-PACT can recover anisotropic absorption-related information from reconstructed images and thus significantly improve their quality.

Indexed as

AdaptiveAnisotropic tissuePhotoacoustic computed tomographyPolarized light

Identifiers

PMID37636546
PMCPMC10457571

What OpenQuestion holds

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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.