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

文献类型：期刊论文

作者Guo, Hongbo1,3; Yu, Jingjing2; Hu, Zhenhua3; Yi, Huangjian1; Hou, Yuqing1; He, Xiaowei1
刊名JOURNAL OF BIOPHOTONICS
出版日期2018-04-01
卷号11期号:4
关键词Bioluminescence Tomography Hybrid Clustering Algorithm In Vivo Optical imagIng Multiple-source Resolving
DOI10.1002/jbio.201700056
文献子类Article
英文摘要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.
WOS关键词PERMISSIBLE SOURCE REGION ; FLUORESCENCE MOLECULAR TOMOGRAPHY ; RECONSTRUCTION METHOD ; AFFINITY PROPAGATION ; PRECLINICAL RESEARCH ; PATTERN-RECOGNITION ; OPTICAL TOMOGRAPHY ; K-MEANS ; MODEL ; REGULARIZATION
WOS研究方向Biochemistry & Molecular Biology ; Biophysics ; Optics
语种英语
WOS记录号WOS:000430178100003
资助机构National Natural Science Foundation of China(61401264 ; Fundamental Research Funds for the Central Universities(GK201603025) ; 61372046 ; 11571012)
源URL[http://ir.ia.ac.cn/handle/173211/22002]  
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.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
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).

入库方式： OAI收割

来源：自动化研究所

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