A hybrid clustering algorithm for multiple-source resolving in bioluminescence tomography

doi:10.1002/jbio.201700056

	A hybrid clustering algorithm for multiple-source resolving in bioluminescence tomography
	Guo, Hongbo 1,3; Yu, Jingjing 2; Hu, Zhenhua3 ; Yi, Huangjian 1; Hou, Yuqing 1; He, Xiaowei 1
发表期刊	JOURNAL OF BIOPHOTONICS
	2018-04-01
卷号	11 期号:4
文章类型	Article
摘要	Bioluminescence tomography is a preclinical imaging modality to locate and quantify internal bioluminescent sources from surface measurements, which experienced rapid growth in the last 10 years. However, multiple-source resolving remains a challenging issue in BLT. In this study, it is treated as an unsupervised pattern recognition problem based on the reconstruction result, and a novel hybrid clustering algorithm combining the advantages of affinity propagation (AP) and K-means is developed to identify multiple sources automatically. Moreover, we incorporate the clustering analysis into a general multiple-source reconstruction framework, which can provide stable reconstruction and accurate resolving result without providing the number of targets. Numerical simulations and in vivo experiments on 4T1-luc2 mouse model were conducted to assess the performance of the proposed method in multiple-source resolving. The encouraging results demonstrate significant effectiveness and potential of our method in preclinical BLT applications.
关键词	Bioluminescence Tomography Hybrid Clustering Algorithm In Vivo Optical imagIng Multiple-source Resolving
WOS标题词	Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences
DOI	10.1002/jbio.201700056
关键词[WOS]	PERMISSIBLE SOURCE REGION ; FLUORESCENCE MOLECULAR TOMOGRAPHY ; RECONSTRUCTION METHOD ; AFFINITY PROPAGATION ; PRECLINICAL RESEARCH ; PATTERN-RECOGNITION ; OPTICAL TOMOGRAPHY ; K-MEANS ; MODEL ; REGULARIZATION
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61401264 ; Fundamental Research Funds for the Central Universities(GK201603025) ; 61372046 ; 11571012)
WOS研究方向	Biochemistry & Molecular Biology ; Biophysics ; Optics
WOS类目	Biochemical Research Methods ; Biophysics ; Optics
WOS记录号	WOS:000430178100003
引用统计	被引频次：31[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/173211/22002
专题	中国科学院分子影像重点实验室
作者单位	1.Northwest Univ Xian, Sch Informat Sci & Technol, Xian 710069, Shaanxi, Peoples R China 2.Shaanxi Normal Univ, Sch Phys & Informat Technol, Xian 710119, Shaanxi, Peoples R China 3.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing, Peoples R China
第一作者单位	中国科学院分子影像重点实验室
推荐引用方式 GB/T 7714	Guo, Hongbo,Yu, Jingjing,Hu, Zhenhua,et al. A hybrid clustering algorithm for multiple-source resolving in bioluminescence tomography[J]. JOURNAL OF BIOPHOTONICS,2018,11(4).
APA	Guo, Hongbo,Yu, Jingjing,Hu, Zhenhua,Yi, Huangjian,Hou, Yuqing,&He, Xiaowei.(2018).A hybrid clustering algorithm for multiple-source resolving in bioluminescence tomography.JOURNAL OF BIOPHOTONICS,11(4).
MLA	Guo, Hongbo,et al."A hybrid clustering algorithm for multiple-source resolving in bioluminescence tomography".JOURNAL OF BIOPHOTONICS 11.4(2018).