Reconstruction algorithms based on l(1)-norm and l(2)-norm for two imaging models of fluorescence molecular tomography: a comparative study

	Reconstruction algorithms based on l(1)-norm and l(2)-norm for two imaging models of fluorescence molecular tomography: a comparative study
	Yi, Huangjian 1; Chen, Duofang 1; Li, Wei 1; Zhu, Shouping 1; Wang, Xiaorui 2; Liang, Jimin 1; Tian, Jie 1,3
发表期刊	JOURNAL OF BIOMEDICAL OPTICS
	2013-05-01
卷号	18 期号:5 页码:-
文章类型	Article
摘要	Fluorescence molecular tomography (FMT) is an important imaging technique of optical imaging. The major challenge of the reconstruction method for FMT is the ill-posed and underdetermined nature of the inverse problem. In past years, various regularization methods have been employed for fluorescence target reconstruction. A comparative study between the reconstruction algorithms based on l(1)-norm and l(2)-norm for two imaging models of FMT is presented. The first imaging model is adopted by most researchers, where the fluorescent target is of small size to mimic small tissue with fluorescent substance, as demonstrated by the early detection of a tumor. The second model is the reconstruction of distribution of the fluorescent substance in organs, which is essential to drug pharmacokinetics. Apart from numerical experiments, in vivo experiments were conducted on a dual-modality FMT/micro-computed tomography imaging system. The experimental results indicated that l(1)-norm regularization is more suitable for reconstructing the small fluorescent target, while l(2)-norm regularization performs better for the reconstruction of the distribution of fluorescent substance. (C) 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)
关键词	Fluorescence Molecular Tomography Regularization Method Imaging Reconstruction Early Detection Of Tumor Drug Distribution
WOS标题词	Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences
关键词[WOS]	DIFFUSE OPTICAL TOMOGRAPHY ; BIOLUMINESCENCE TOMOGRAPHY ; BREAST-CANCER ; IN-VIVO ; SYSTEM ; LIGHT ; METHYLATION ; CT
收录类别	SCI
语种	英语
WOS研究方向	Biochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Biochemical Research Methods ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:000322339900028
引用统计	被引频次：52[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/4073
专题	中国科学院分子影像重点实验室
通讯作者	Tian, Jie
作者单位	1.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Shaanxi, Peoples R China 2.Xidian Univ, Sch Tech Phys, Xian 710071, Shaanxi, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Yi, Huangjian,Chen, Duofang,Li, Wei,et al. Reconstruction algorithms based on l(1)-norm and l(2)-norm for two imaging models of fluorescence molecular tomography: a comparative study[J]. JOURNAL OF BIOMEDICAL OPTICS,2013,18(5):-.
APA	Yi, Huangjian.,Chen, Duofang.,Li, Wei.,Zhu, Shouping.,Wang, Xiaorui.,...&Tian, Jie.(2013).Reconstruction algorithms based on l(1)-norm and l(2)-norm for two imaging models of fluorescence molecular tomography: a comparative study.JOURNAL OF BIOMEDICAL OPTICS,18(5),-.
MLA	Yi, Huangjian,et al."Reconstruction algorithms based on l(1)-norm and l(2)-norm for two imaging models of fluorescence molecular tomography: a comparative study".JOURNAL OF BIOMEDICAL OPTICS 18.5(2013):-.

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