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Pixel-wise reconstruction of tissue absorption coefficients in photoacoustic tomography using a non-segmentation iterative method
In Photoacoustic Tomography (PAT), the acquired image represents a light energy deposition map of the imaging object. For quantitative imaging, the PAT image is converted into an absorption coefficient ([Formula: see text]) map by dividing the light fluence (LF). Previous methods usually assume a un...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424605/ https://www.ncbi.nlm.nih.gov/pubmed/36051488 http://dx.doi.org/10.1016/j.pacs.2022.100390 |
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author | Zhang, Shuangyang Liu, Jiaming Liang, Zhichao Ge, Jia Feng, Yanqiu Chen, Wufan Qi, Li |
author_facet | Zhang, Shuangyang Liu, Jiaming Liang, Zhichao Ge, Jia Feng, Yanqiu Chen, Wufan Qi, Li |
author_sort | Zhang, Shuangyang |
collection | PubMed |
description | In Photoacoustic Tomography (PAT), the acquired image represents a light energy deposition map of the imaging object. For quantitative imaging, the PAT image is converted into an absorption coefficient ([Formula: see text]) map by dividing the light fluence (LF). Previous methods usually assume a uniform tissue [Formula: see text] distribution, and consequently degrade the LF correction results. Here, we propose a simple method to reconstruct the pixel-wise [Formula: see text] map. Our method is based on a non-segmentation-based iterative algorithm, which alternately optimizes the LF distribution and the [Formula: see text] map. Using simulation data, as well as phantom and animal data, we implemented our algorithm and compared it to segmentation-based correction methods. The results show that our method can obtain accurate estimation of the LF distribution and therefore improve the image quality and feature visibility of the [Formula: see text] map. Our method may facilitate efficient calculation of the concentration distributions of endogenous and exogenous agents in vivo. |
format | Online Article Text |
id | pubmed-9424605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94246052022-08-31 Pixel-wise reconstruction of tissue absorption coefficients in photoacoustic tomography using a non-segmentation iterative method Zhang, Shuangyang Liu, Jiaming Liang, Zhichao Ge, Jia Feng, Yanqiu Chen, Wufan Qi, Li Photoacoustics Research Article In Photoacoustic Tomography (PAT), the acquired image represents a light energy deposition map of the imaging object. For quantitative imaging, the PAT image is converted into an absorption coefficient ([Formula: see text]) map by dividing the light fluence (LF). Previous methods usually assume a uniform tissue [Formula: see text] distribution, and consequently degrade the LF correction results. Here, we propose a simple method to reconstruct the pixel-wise [Formula: see text] map. Our method is based on a non-segmentation-based iterative algorithm, which alternately optimizes the LF distribution and the [Formula: see text] map. Using simulation data, as well as phantom and animal data, we implemented our algorithm and compared it to segmentation-based correction methods. The results show that our method can obtain accurate estimation of the LF distribution and therefore improve the image quality and feature visibility of the [Formula: see text] map. Our method may facilitate efficient calculation of the concentration distributions of endogenous and exogenous agents in vivo. Elsevier 2022-08-17 /pmc/articles/PMC9424605/ /pubmed/36051488 http://dx.doi.org/10.1016/j.pacs.2022.100390 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Zhang, Shuangyang Liu, Jiaming Liang, Zhichao Ge, Jia Feng, Yanqiu Chen, Wufan Qi, Li Pixel-wise reconstruction of tissue absorption coefficients in photoacoustic tomography using a non-segmentation iterative method |
title | Pixel-wise reconstruction of tissue absorption coefficients in photoacoustic tomography using a non-segmentation iterative method |
title_full | Pixel-wise reconstruction of tissue absorption coefficients in photoacoustic tomography using a non-segmentation iterative method |
title_fullStr | Pixel-wise reconstruction of tissue absorption coefficients in photoacoustic tomography using a non-segmentation iterative method |
title_full_unstemmed | Pixel-wise reconstruction of tissue absorption coefficients in photoacoustic tomography using a non-segmentation iterative method |
title_short | Pixel-wise reconstruction of tissue absorption coefficients in photoacoustic tomography using a non-segmentation iterative method |
title_sort | pixel-wise reconstruction of tissue absorption coefficients in photoacoustic tomography using a non-segmentation iterative method |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424605/ https://www.ncbi.nlm.nih.gov/pubmed/36051488 http://dx.doi.org/10.1016/j.pacs.2022.100390 |
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