Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Non model-based bioluminescence tomography using a machine-learning reconstruction strategy | |
Gao, Yuan1,2; Wang, Kun1,2; An, Yu1,2; Jiang, Shixin1,3; Meng, Hui1,2; Tian, Jie1,2,4 | |
发表期刊 | Optica |
2018-11 | |
卷号 | 5期号:11页码:1451-1454 |
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. |
关键词 | Light Regularization Registration Information Algorithm Accuracy |
DOI | 10.1364/OPTICA.5.001451 |
收录类别 | SCI |
语种 | 英语 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23540 |
专题 | 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 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
manuscript.pdf(708KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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