中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Non model-based bioluminescence tomography using a machine-learning reconstruction strategy

文献类型:期刊论文

作者Gao, Yuan1,2; Wang, Kun1,2; An, Yu1,2; Jiang, Shixin1,3; Meng, Hui1,2; Tian, Jie1,2,4
刊名Optica
出版日期2018-11
卷号5期号:11页码:1451-1454
关键词Light Regularization Registration Information Algorithm Accuracy
DOI10.1364/OPTICA.5.001451
英文摘要

Bioluminescence tomography (BLT) is an effective noninvasive molecular imaging modality for in vivo tumor research in small animals. However, the quality of BLT reconstruction is limited by the simplified linear model of photon propagation. Here, we proposed a multilayer perceptron-based inverse problem simulation (IPS) method to improve the quality of in vivo tumor BLT reconstruction. Instead of solving the inverse problem of the simplified linear model of photon propagation, the IPS method directly fits the nonlinear relationship between an object surface optical density and its internal bioluminescent source. Both simulation and orthotopic glioma BLT reconstruction experiments demonstrated that IPS greatly improved the reconstruction quality compared with the conventional approach.

语种英语
源URL[http://ir.ia.ac.cn/handle/173211/23540]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Wang, Kun; Tian, Jie
作者单位1.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
4.Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China
推荐引用方式
GB/T 7714
Gao, Yuan,Wang, Kun,An, Yu,et al. Non model-based bioluminescence tomography using a machine-learning reconstruction strategy[J]. Optica,2018,5(11):1451-1454.
APA Gao, Yuan,Wang, Kun,An, Yu,Jiang, Shixin,Meng, Hui,&Tian, Jie.(2018).Non model-based bioluminescence tomography using a machine-learning reconstruction strategy.Optica,5(11),1451-1454.
MLA Gao, Yuan,et al."Non model-based bioluminescence tomography using a machine-learning reconstruction strategy".Optica 5.11(2018):1451-1454.

入库方式: OAI收割

来源:自动化研究所

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