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 |
DOI | 10.1364/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
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。