Zhang, Y., Glorieux, C., Yang, S. , Gu, K., Xia, Z., Hou, R., Hou, L. , Liu, X. and Xiong, J. (2023) Adaptive polarization photoacoustic computed tomography for biological anisotropic tissue imaging. Photoacoustics, 32, 100543. (doi: 10.1016/j.pacs.2023.100543)
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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.
Item Type: | Articles |
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Additional Information: | This research was supported by National Key Scientific Instrument and Equipment Development Projects of China (61827814); Natural Science Foundation of Beijing Municipality (Z190018); Overseas Expertise Introduction Project for Discipline Innovation of China (B17023). The authors would also like to acknowledge support from the UK Engineering and Physical Sciences Research Council (EP/R042578/1). |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Liu, Professor Xuefeng and Hou, Dr Lianping and Yang, Dr Shufan |
Authors: | Zhang, Y., Glorieux, C., Yang, S., Gu, K., Xia, Z., Hou, R., Hou, L., Liu, X., and Xiong, J. |
College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy |
Journal Name: | Photoacoustics |
Publisher: | Elsevier |
ISSN: | 2213-5979 |
ISSN (Online): | 2213-5979 |
Published Online: | 09 August 2023 |
Copyright Holders: | Copyright © 2023 The Authors |
First Published: | First published in Photoacoustics 32:100543 |
Publisher Policy: | Reproduced under a Creative Commons license |
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