Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method

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

	Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method
	Ye, Jinzuo1 ; Chi, Chongwei1 ; Xue, Zhenwen 2; Wu, Ping 1; An, Yu 3; Xu, Han 3; Zhang, Shuang 4; Tian, Jie1
刊名	BIOMEDICAL OPTICS EXPRESS
	2014-02-01
卷号	5 期号:2 页码:387-406
英文摘要	Fluorescence molecular tomography (FMT), as a promising imaging modality, can three-dimensionally locate the specific tumor position in small animals. However, it remains challenging for effective and robust reconstruction of fluorescent probe distribution in animals. In this paper, we present a novel method based on sparsity adaptive subspace pursuit (SASP) for FMT reconstruction. Some innovative strategies including subspace projection, the bottom-up sparsity adaptive approach, and backtracking technique are associated with the SASP method, which guarantees the accuracy, efficiency, and robustness for FMT reconstruction. Three numerical experiments based on a mouse-mimicking heterogeneous phantom have been performed to validate the feasibility of the SASP method. The results show that the proposed SASP method can achieve satisfactory source localization with a bias less than 1mm; the efficiency of the method is much faster than mainstream reconstruction methods; and this approach is robust even under quite ill-posed condition. Furthermore, we have applied this method to an in vivo mouse model, and the results demonstrate the feasibility of the practical FMT application with the SASP method. (C) 2014 Optical Society of America
WOS标题词	Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences
类目[WOS]	Biochemical Research Methods ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
研究领域[WOS]	Biochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
关键词[WOS]	DIFFUSE OPTICAL TOMOGRAPHY ; ELEMENT BASED TOMOGRAPHY ; IMAGE-RECONSTRUCTION ; REGULARIZATION ; ALGORITHM ; TISSUE ; LIGHT ; FEASIBILITY ; EQUATIONS ; SYSTEMS
收录类别	SCI
语种	英语
WOS记录号	WOS:000331072400005
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/4037]
专题	自动化研究所_中国科学院分子影像重点实验室
作者单位	1.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing 100190, Peoples R China 2.Huawei Technol Co Ltd, Chengdu Inst, Chengdu 611731, Sichuan, Peoples R China 3.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Dept Biomed Engn, Beijing 100044, Peoples R China 4.Northeastern Univ, Sino Dutch Biomed & Informat Engn Sch, Shenyang 110819, Liaoning, Peoples R China
推荐引用方式 GB/T 7714	Ye, Jinzuo,Chi, Chongwei,Xue, Zhenwen,et al. Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method[J]. BIOMEDICAL OPTICS EXPRESS,2014,5(2):387-406.
APA	Ye, Jinzuo.,Chi, Chongwei.,Xue, Zhenwen.,Wu, Ping.,An, Yu.,...&Tian, Jie.(2014).Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method.BIOMEDICAL OPTICS EXPRESS,5(2),387-406.
MLA	Ye, Jinzuo,et al."Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method".BIOMEDICAL OPTICS EXPRESS 5.2(2014):387-406.