Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models

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

	Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models
	Liu, Kai 1; Tian, Jie1,2 ; Qin, Chenghu 1; Yang, Xin 1; Zhu, Shouping 2; Han, Dong 1; Wu, Ping 1
刊名	JOURNAL OF BIOMEDICAL OPTICS
	2011-04-01
卷号	16 期号:4 页码:-
关键词	tomographic imaging optical imaging bioluminescence imaging inverse problem sparse regularization
英文摘要	Generally, the performance of tomographic bioluminescence imaging is dependent on several factors, such as regularization parameters and initial guess of source distribution. In this paper, a global-inexact-Newton based reconstruction method, which is regularized by a dynamic sparse term, is presented for tomographic reconstruction. The proposed method can enhance higher imaging reliability and efficiency. In vivo mouse experimental reconstructions were performed to validate the proposed method. Reconstruction comparisons of the proposed method with other methods demonstrate the applicability on an entire region. Moreover, the reliable performance on a wide range of regularization parameters and initial unknown values were also investigated. Based on the in vivo experiment and a mouse atlas, the tolerance for optical property mismatch was evaluated with optical overestimation and underestimation. Additionally, the reconstruction efficiency was also investigated with different sizes of mouse grids. We showed that this method was reliable for tomographic bioluminescence imaging in practical mouse experimental applications. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3570828]
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]	LAPLACIAN-TYPE REGULARIZATION ; RADIATIVE-TRANSFER EQUATION ; DIFFUSE OPTICAL TOMOGRAPHY ; PET OPET SYSTEM ; IN-VIVO ; GRAPH CUTS ; SIMULATION ; LIGHT ; PROPAGATION ; TRANSPORT
收录类别	SCI
语种	英语
WOS记录号	WOS:000291031400023
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3989]
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, Med Image Proc Grp, Inst Automat, Beijing 100190, Peoples R China 2.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Liu, Kai,Tian, Jie,Qin, Chenghu,et al. Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models[J]. JOURNAL OF BIOMEDICAL OPTICS,2011,16(4):-.
APA	Liu, Kai.,Tian, Jie.,Qin, Chenghu.,Yang, Xin.,Zhu, Shouping.,...&Wu, Ping.(2011).Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models.JOURNAL OF BIOMEDICAL OPTICS,16(4),-.
MLA	Liu, Kai,et al."Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models".JOURNAL OF BIOMEDICAL OPTICS 16.4(2011):-.