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NIR-IIb Fluorescence Molecular Tomography of Glioblastomas Based on Heterogeneous Mouse Models and Adaptive Projection Match Pursuit Method

文献类型：期刊论文

作者Shi, Xiaojing6,7; Guo, Lishuang5; Liu, Jiangang4; Tian, Jie1,2,3; Hu, Zhenhua1,3
刊名IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
出版日期2023-08-01
卷号70期号:8页码:2258-2269
ISSN号0018-9294
关键词Adaptive projection matching pursuit method fluorescence molecular tomography glioblastoma NIR-IIb
DOI10.1109/TBME.2023.3239735
通讯作者Liu, Jiangang(jgliu@buaa.edu.cn)
英文摘要Objective: Fluorescence molecular tomography (FMT) using fluorescence of the second near-infrared window (NIR-II) has been proved to outperform conventional FMT using fluorescence of the first near-infrared window (NIR-I). However, it was still a challenge to achieve a satisfactory reconstructed light source using NIR-II FMT as the NIR-IIa (1300-1400 nm) fluorescence in the NIR-II spectrum used in the previous NIR-II FMT study was still suffering from prominent absorption and scattering of tissue. Methods: A novel NIR-IIb (1500-1700 nm) FMT method was proposed and applied in the reconstruction of glioblastomas in animal models. Optical parameters that describe the effect of different tissue on the NIR-IIb photons were calculated to construct a light propagation model of NIR-IIb light to form the forward model. Besides, a novel adaptive projection matching pursuit (APMP) method was further adopted to accurately solve the inverse problem. Location error and Dice coefficient were used to evaluate the accuracy of reconstruction. Simulation experiments using single-source and dual-source and in vivo experiments were conducted to evaluate the reconstructed light source. Results: Both simulation and in vivo experiments demonstrated that NIR-IIb FMT achieved reduced location error and improved shape similarity compared with NIR-IIa. NIR-IIb FMT of orthotopic mouse models further achieved a location error of 0.65 mm and a Dice coefficient of 0.56, which both outperformed NIR-IIa. Conclusion: The results demonstrated that NIR-IIb has better reconstruction performance for positioning accuracy and shape recovery. Significance: The inspiring results in this study demonstrate the effectiveness and advantages of NIR-IIb FMT in precise tumor positioning.
WOS关键词CERENKOV LUMINESCENCE TOMOGRAPHY ; OPTICAL-PROPERTIES ; RECONSTRUCTION ; RESOLUTION ; SYSTEM
资助项目Beijing Natural Science Foundation[JQ19027] ; National Key Research and Development Program of China[2017YFA0205200] ; National Natural Science Foundation of China (NSFC)[62027901] ; National Natural Science Foundation of China (NSFC)[81930053] ; National Natural Science Foundation of China (NSFC)[92059207] ; National Natural Science Foundation of China (NSFC)[81227901] ; CAS Youth Interdisciplinary Team[JCTD-2021-08] ; Strategic Priority Research Program (A) of Chinese Academy of Sciences[XDA16021200] ; Zhuhai High-level Health Personnel Team Project[HLHPTP201703]
WOS研究方向Engineering
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:001033559600002
资助机构Beijing Natural Science Foundation ; National Key Research and Development Program of China ; National Natural Science Foundation of China (NSFC) ; CAS Youth Interdisciplinary Team ; Strategic Priority Research Program (A) of Chinese Academy of Sciences ; Zhuhai High-level Health Personnel Team Project
源URL[http://ir.ia.ac.cn/handle/173211/53876]  
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Liu, Jiangang
作者单位1.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging, Beijing, Peoples R China
2.Beihang Univ, Sch Engn Med, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
4.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Engn Med, Beijing 100191, Peoples R China
5.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Engn Med, Beijing, Peoples R China
6.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
7.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		 Shi, Xiaojing,Guo, Lishuang,Liu, Jiangang,et al. NIR-IIb Fluorescence Molecular Tomography of Glioblastomas Based on Heterogeneous Mouse Models and Adaptive Projection Match Pursuit Method[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2023,70(8):2258-2269.
APA Shi, Xiaojing,Guo, Lishuang,Liu, Jiangang,Tian, Jie,&Hu, Zhenhua.(2023).NIR-IIb Fluorescence Molecular Tomography of Glioblastomas Based on Heterogeneous Mouse Models and Adaptive Projection Match Pursuit Method.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,70(8),2258-2269.
MLA Shi, Xiaojing,et al."NIR-IIb Fluorescence Molecular Tomography of Glioblastomas Based on Heterogeneous Mouse Models and Adaptive Projection Match Pursuit Method".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 70.8(2023):2258-2269.

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来源：自动化研究所

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