Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Lp Regularization for Bioluminescence Tomography Based on the Split Bregman Method | |
Yifang Hu1,2; Jie Liu1,5; Chengcai Leng2,3; Yu An1; Shuang Zhang4; Kun Wang2 | |
发表期刊 | Molecular Imaging and Biology |
2016 | |
期号 | 18页码:830-837 |
摘要 | Purpose: Bioluminescence tomography (BLT) is a promising in vivo optical imaging technique in preclinical research at cellular and molecular levels. The problem of BLT reconstruction is quite ill-posed and ill-conditioned. In order to achieve high accuracy and efficiency for its inverse reconstruction, we proposed a novel approach based on Lp regularization with the Split Bregman method. Procedures: The diffusion equation was used as the forward model. Then, we defined the objective function of Lp regularization and developed a Split Bregman iteration algorithm to optimize this function. After that, we conducted numerical simulations and in vivo experiments to evaluate the accuracy and efficiency of the proposed method. Results: The results of the simulations indicated that compared with the conjugate gradient and iterative shrinkage methods, the proposed method is more accurate and faster for multisource reconstructions. Furthermore ,in vivo imaging suggested that it could clearly distinguish the viable and apoptotic tumor regions. Conclusions: The Split Bregman iteration method is able to minimize the Lp regularization problem and achieve fast and accurate reconstruction in BLT. |
关键词 | Bioluminescence Tomography (Blt) Lp Regularization Image Reconstruction Split Bregman Method |
DOI | 10.1007/s11307-016-0970-9 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/19560 |
专题 | 中国科学院分子影像重点实验室 |
作者单位 | 1.School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China 2.Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Zhongguancun East Road #95, Haidian Dist., Beijing, 100190, People’s Republic of China 3.School of Mathematics and Information Sciences, Nanchang Hangkong University, Nanchang, 330063, China 4.Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, 110819, China 5.Department of Biomedical Engineering, Beijing Jiaotong University, School of Computer and Information, Shangyuancun 3#, Beijing, 100044, People’s Republic of China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yifang Hu,Jie Liu,Chengcai Leng,et al. Lp Regularization for Bioluminescence Tomography Based on the Split Bregman Method[J]. Molecular Imaging and Biology,2016(18):830-837. |
APA | Yifang Hu,Jie Liu,Chengcai Leng,Yu An,Shuang Zhang,&Kun Wang.(2016).Lp Regularization for Bioluminescence Tomography Based on the Split Bregman Method.Molecular Imaging and Biology(18),830-837. |
MLA | Yifang Hu,et al."Lp Regularization for Bioluminescence Tomography Based on the Split Bregman Method".Molecular Imaging and Biology .18(2016):830-837. |
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