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Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography

文献类型：期刊论文

作者Cao, Caiguang3,4; Xiao, Anqi3,4; Cai, Meishan3,4; Shen, Biluo3,4; Guo, Lishuang2,4; Shi, Xiaojing3,4; Tian, Jie1,2,3,4; Hu, Zhenhua3,4
刊名BIOMEDICAL OPTICS EXPRESS
出版日期2022-12-01
卷号13期号:12页码:6284-6299
ISSN号2156-7085
DOI10.1364/BOE.474982Journal
通讯作者Hu, Zhenhua(zhenhua.hu@ia.ac.cn)
英文摘要Fluorescence molecular tomography (FMT) is a novel imaging modality to obtain matical model and complicated inverse problem limit it to achieving precise results. In this study, the second near-infrared (NIR-II) fluorescence imaging was adopted to mitigate tissue scattering and reduce noise interference. An excitation-based fully connected network was proposed to model the inverse process of NIR-II photon propagation and directly obtain the 3D distribution of the light source. An excitation block was embedded in the network allowing it to autonomously pay more attention to neurons related to the light source. The barycenter error was added to the loss function to improve the localization accuracy of the light source. Both numerical simulation and in vivo experiments showed the superiority of the novel NIR-II FMT reconstruction strategy over the baseline methods. This strategy was expected to facilitate the application of machine learning in biomedical research.
WOS关键词RECONSTRUCTION ; SIMULATION ; MOUSE ; REGULARIZATION ; OPTIMIZATION ; SYSTEM ; MODEL
资助项目National Key Research and Development Program of China[2017YFA0205200] ; National Natural Science Foundation of China[62027901] ; National Natural Science Foundation of China[81930053] ; National Natural Science Foundation of China[92059207] ; National Natural Science Foundation of China[81227901] ; Beijing Natural Science Foundation[JQ19027] ; CAS Youth Interdisciplinary Team[JCTD-2021-08] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA16021200] ; Zhuhai High-level Health Personnel Team Project[Zhuhai HLHPTP201703]
WOS研究方向Biochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
语种英语
出版者Optica Publishing Group
WOS记录号WOS:000917262200009
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation ; CAS Youth Interdisciplinary Team ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Zhuhai High-level Health Personnel Team Project
源URL[http://ir.ia.ac.cn/handle/173211/51410]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Hu, Zhenhua
作者单位1.Xidian Univ, Engn Res Ctr Mol & Neuro Imaging, Sch Life Sci & Technol, Minist Educ, Xian, Peoples R China
2.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Engn Med, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Cao, Caiguang,Xiao, Anqi,Cai, Meishan,et al. Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography[J]. BIOMEDICAL OPTICS EXPRESS,2022,13(12):6284-6299.
APA Cao, Caiguang.,Xiao, Anqi.,Cai, Meishan.,Shen, Biluo.,Guo, Lishuang.,...&Hu, Zhenhua.(2022).Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography.BIOMEDICAL OPTICS EXPRESS,13(12),6284-6299.
MLA Cao, Caiguang,et al."Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography".BIOMEDICAL OPTICS EXPRESS 13.12(2022):6284-6299.

入库方式： OAI收割

来源：自动化研究所

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