Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Shuangyang, Liu, Jiaming, Liang, Zhichao, Ge, Jia, Feng, Yanqiu, Chen, Wufan, Qi, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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
_version_ 1784778259343343616
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
work_keys_str_mv AT zhangshuangyang pixelwisereconstructionoftissueabsorptioncoefficientsinphotoacoustictomographyusinganonsegmentationiterativemethod
AT liujiaming pixelwisereconstructionoftissueabsorptioncoefficientsinphotoacoustictomographyusinganonsegmentationiterativemethod
AT liangzhichao pixelwisereconstructionoftissueabsorptioncoefficientsinphotoacoustictomographyusinganonsegmentationiterativemethod
AT gejia pixelwisereconstructionoftissueabsorptioncoefficientsinphotoacoustictomographyusinganonsegmentationiterativemethod
AT fengyanqiu pixelwisereconstructionoftissueabsorptioncoefficientsinphotoacoustictomographyusinganonsegmentationiterativemethod
AT chenwufan pixelwisereconstructionoftissueabsorptioncoefficientsinphotoacoustictomographyusinganonsegmentationiterativemethod
AT qili pixelwisereconstructionoftissueabsorptioncoefficientsinphotoacoustictomographyusinganonsegmentationiterativemethod