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

doi:10.1109/TBME.2023.3239735

CORC > 自动化研究所 > 中国科学院自动化研究所 > 中国科学院分子影像重点实验室

	NIR-IIb Fluorescence Molecular Tomography of Glioblastomas Based on Heterogeneous Mouse Models and Adaptive Projection Match Pursuit Method
	Shi, Xiaojing 1,7; Guo, Lishuang 2; Liu, Jiangang 3; Tian, Jie 4,5,6; Hu, Zhenhua 5,6
刊名	IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
	2023-08-01
卷号	70 期号:8 页码:2258-2269
关键词	Adaptive projection matching pursuit method fluorescence molecular tomography glioblastoma NIR-IIb
ISSN号	0018-9294
DOI	10.1109/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.
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关键词	CERENKOV LUMINESCENCE TOMOGRAPHY ; OPTICAL-PROPERTIES ; RECONSTRUCTION ; RESOLUTION ; SYSTEM
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
内容类型	期刊论文
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, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Engn Med, Beijing, Peoples R China 3.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Engn Med, Beijing 100191, Peoples R China 4.Beihang Univ, Sch Engn Med, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing, Peoples R China 5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 6.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging, Beijing, Peoples R China 7.Univ Chinese Acad Sci, Sch Artificial Intelligence, 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.