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

doi:10.1109/TBME.2023.3239735

	NIR-IIb Fluorescence Molecular Tomography of Glioblastomas Based on Heterogeneous Mouse Models and Adaptive Projection Match Pursuit Method
	Shi, Xiaojing1,2 ; Guo, Lishuang 3; Liu, Jiangang 4; Tian, Jie 5,6,7; Hu, Zhenhua5,6
发表期刊	IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
ISSN	0018-9294
	2023-08-01
卷号	70 期号:8 页码:2258-2269
通讯作者	Liu, Jiangang(jgliu@buaa.edu.cn)
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.
关键词	Adaptive projection matching pursuit method fluorescence molecular tomography glioblastoma NIR-IIb
DOI	10.1109/TBME.2023.3239735
关键词[WOS]	CERENKOV LUMINESCENCE TOMOGRAPHY ; OPTICAL-PROPERTIES ; RECONSTRUCTION ; RESOLUTION ; SYSTEM
收录类别	SCI
语种	英语
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]
项目资助者	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
WOS研究方向	Engineering
WOS类目	Engineering, Biomedical
WOS记录号	WOS:001033559600002
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/53877
专题	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.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 3.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Engn Med, 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.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging, Beijing, Peoples R China 6.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 7.Beihang Univ, Sch Engn Med, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing, Peoples R China
第一作者单位	中国科学院自动化研究所
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.