Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma

doi:10.1109/TBME.2019.2937354

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

	Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma
	Jiang, Shixin 1,2,3; Liu, Jie 2; An, Yu 1; Gao, Yuan 1; Meng, Hui 1; Wang, Kun 1; Tian, Jie 1,4
刊名	IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
	2020-05-01
卷号	67 期号:5 页码:1429-1437
关键词	Fluorescence Image reconstruction Tumors Reconstruction algorithms Morphology Photonics Inverse problems Fluorescence molecular tomography group sparsity image reconstruction morphological reconstruction
ISSN号	0018-9294
DOI	10.1109/TBME.2019.2937354
通讯作者	Wang, Kun(kun.wang@ia.ac.cn) ; Tian, Jie(tian@ieee.org)
英文摘要	Objective: Fluorescence molecular tomography (FMT) is an important tool for life science, which can noninvasive real-time three-dimensional (3-D) visualization for fluorescence source location. FMT is widely used in tumor research due to its high-sensitive and low cost. However, the reconstruction of FMT is difficult. Although the reconstruction methods of FMT have developed rapidly in recent years, the morphological reconstruction of FMT is still a challenge problem. Thus, the purpose of this study is to realize the morphological reconstruction performance of FMT in glioma research. Methods: In this study, group sparsity was used as a new priori information for FMT. Besides sparsity, group sparsity also takes the group structure of the fluorescent sources, which can maintain the morphological information of the sources. Fused LASSO method (FLM) was proved it can efficiently model the group sparsity prior. Thus, we utilize FLM to reconstruct the morphological information of glioma. Furthermore, to reduce the influence of the high scattering of skull, we modified the FLM for improving the accuracy of morphological reconstruction. Results: Glioma numerical simulation model and in vivo glioma model were established to evaluate the performance of morphological reconstruction of the proposed method. The results demonstrated that the proposed method was efficient to reconstruct the morphological information of glioma. Conclusion: Group sparsity priori can effectively improve the morphological accuracy of FMT reconstruction. Significance: Group sparsity can maintain the morphological information of fluorescent sources effectively, which has great application potential in FMT. The group sparsity based methods can realize the morphological reconstruction, which is of great practical significance in tumor research.
资助项目	National Key Research and Development Program of China[2017YFA0700401] ; National Key Research and Development Program of China[2017YFA0205200] ; National Natural Science Foundation of China[81571836] ; National Natural Science Foundation of China[61601019] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81401471] ; National Natural Science Foundation of China[61671449] ; Beijing Natural Science Foundation[7164270]
WOS关键词	ELEMENT BASED TOMOGRAPHY ; THRESHOLDING ALGORITHM ; OPTICAL TOMOGRAPHY ; REGULARIZATION ; LIGHT ; MICROSCOPY ; RESOLUTION ; PURSUIT ; 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:000530299200021
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/39405]
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	Wang, Kun; Tian, Jie
作者单位	1.Chinese Acad Sci, CAS Key Lab Mol Imaging, Inst Automat, Beijing 100190, Peoples R China 2.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China 3.Chongqing Jiaotong Univ, Sch Informat Sci & Engn, Chongqing, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Shixin,Liu, Jie,An, Yu,et al. Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2020,67(5):1429-1437.
APA	Jiang, Shixin.,Liu, Jie.,An, Yu.,Gao, Yuan.,Meng, Hui.,...&Tian, Jie.(2020).Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,67(5),1429-1437.
MLA	Jiang, Shixin,et al."Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 67.5(2020):1429-1437.