Full three-dimensional segmentation and quantification of tumor vessels for photoacoustic images

Full three-dimensional segmentation and quantification of tumor vessels for photoacoustic images

Quantitative analysis of tumor vessels is of great significance for tumor staging and diagnosis. Photoacoustic imaging (PAI) has been proven to be an effective way to visualize comprehensive tumor vascular networks in three-dimensional (3D) volume, while previous studies only quantified the vessels...

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Bibliographic Details
Main Authors: Mingjian Sun, Chao Li, Ningbo Chen, Huangxuan Zhao, Liyong Ma, Chengbo Liu, Yi Shen, Riqiang Lin, Xiaojing Gong
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Photoacoustics
Subjects:
Photoacoustic imaging
Three-dimensional quantification
Quantitative vascular imaging
Tumor microvessel
Online Access:http://www.sciencedirect.com/science/article/pii/S2213597920300525
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record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Mingjian Sun
Chao Li
Ningbo Chen
Huangxuan Zhao
Liyong Ma
Chengbo Liu
Yi Shen
Riqiang Lin
Xiaojing Gong
spellingShingle Mingjian Sun
Chao Li
Ningbo Chen
Huangxuan Zhao
Liyong Ma
Chengbo Liu
Yi Shen
Riqiang Lin
Xiaojing Gong
Full three-dimensional segmentation and quantification of tumor vessels for photoacoustic images
Photoacoustics
Photoacoustic imaging
Three-dimensional quantification
Quantitative vascular imaging
Tumor microvessel
author_facet Mingjian Sun
Chao Li
Ningbo Chen
Huangxuan Zhao
Liyong Ma
Chengbo Liu
Yi Shen
Riqiang Lin
Xiaojing Gong
author_sort Mingjian Sun
title Full three-dimensional segmentation and quantification of tumor vessels for photoacoustic images
title_short Full three-dimensional segmentation and quantification of tumor vessels for photoacoustic images
title_full Full three-dimensional segmentation and quantification of tumor vessels for photoacoustic images
title_fullStr Full three-dimensional segmentation and quantification of tumor vessels for photoacoustic images
title_full_unstemmed Full three-dimensional segmentation and quantification of tumor vessels for photoacoustic images
title_sort full three-dimensional segmentation and quantification of tumor vessels for photoacoustic images
publisher Elsevier
series Photoacoustics
issn 2213-5979
publishDate 2020-12-01
description Quantitative analysis of tumor vessels is of great significance for tumor staging and diagnosis. Photoacoustic imaging (PAI) has been proven to be an effective way to visualize comprehensive tumor vascular networks in three-dimensional (3D) volume, while previous studies only quantified the vessels projected in one plane. In this study, tumor vessels were segmented and quantified in a full 3D framework. It had been verified in the phantom experiments that the 3D quantification results have better accuracy than 2D. Furthermore, in vivo vessel images were quantified by 2D and 3D quantification methods respectively. And the difference between these two results is significant. In this study, complete vessel segmentation and quantification method within a 3D framework was implemented, which showed obvious advantage in the analysis accuracy of 3D photoacoustic images, and potentially improve tumor study and diagnosis.
topic Photoacoustic imaging
Three-dimensional quantification
Quantitative vascular imaging
Tumor microvessel
url http://www.sciencedirect.com/science/article/pii/S2213597920300525
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spelling doaj-687a0d45e1a54d238e7f001be17713b52021-01-02T05:09:43ZengElsevierPhotoacoustics2213-59792020-12-0120100212Full three-dimensional segmentation and quantification of tumor vessels for photoacoustic imagesMingjian Sun0Chao Li1Ningbo Chen2Huangxuan Zhao3Liyong Ma4Chengbo Liu5Yi Shen6Riqiang Lin7Xiaojing Gong8School of Information Science and Engineering, Harbin Institute of Technology (Weihai), Weihai, China; School of Astronautics, Harbin Institute of Technology, Harbin, ChinaSchool of Information Science and Engineering, Harbin Institute of Technology (Weihai), Weihai, China; Research Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaResearch Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaResearch Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSchool of Information Science and Engineering, Harbin Institute of Technology (Weihai), Weihai, ChinaResearch Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, ChinaSchool of Astronautics, Harbin Institute of Technology, Harbin, ChinaResearch Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; Corresponding authors at: Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Boulevard, Shenzhen, 518055, China.Research Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Guangdong Provincial Key Laboratory of Biomedical Optical Imaging Technology, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; Corresponding authors at: Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Boulevard, Shenzhen, 518055, China.Quantitative analysis of tumor vessels is of great significance for tumor staging and diagnosis. Photoacoustic imaging (PAI) has been proven to be an effective way to visualize comprehensive tumor vascular networks in three-dimensional (3D) volume, while previous studies only quantified the vessels projected in one plane. In this study, tumor vessels were segmented and quantified in a full 3D framework. It had been verified in the phantom experiments that the 3D quantification results have better accuracy than 2D. Furthermore, in vivo vessel images were quantified by 2D and 3D quantification methods respectively. And the difference between these two results is significant. In this study, complete vessel segmentation and quantification method within a 3D framework was implemented, which showed obvious advantage in the analysis accuracy of 3D photoacoustic images, and potentially improve tumor study and diagnosis.http://www.sciencedirect.com/science/article/pii/S2213597920300525Photoacoustic imagingThree-dimensional quantificationQuantitative vascular imagingTumor microvessel

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