Zhang, Y., Glorieux, C., Yang, S. orcid.org/0000-0003-0531-2903 et al. (6 more authors) (2023) Adaptive polarization photoacoustic computed tomography for biological anisotropic tissue imaging. Photoacoustics, 32. 100543. ISSN 2213-5979
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Published by Elsevier GmbH. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Photoacoustic computed tomography; Polarized light; Adaptive; Anisotropic tissue |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Jun 2024 08:18 |
Last Modified: | 21 Jun 2024 08:18 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.pacs.2023.100543 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:213693 |