Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method | |
Ye, Jinzuo1; Chi, Chongwei1; Xue, Zhenwen2; Wu, Ping1; An, Yu3; Xu, Han3; Zhang, Shuang4; Tian, Jie1 | |
发表期刊 | BIOMEDICAL OPTICS EXPRESS |
2014-02-01 | |
卷号 | 5期号:2页码:387-406 |
文章类型 | Article |
摘要 | Fluorescence molecular tomography (FMT), as a promising imaging modality, can three-dimensionally locate the specific tumor position in small animals. However, it remains challenging for effective and robust reconstruction of fluorescent probe distribution in animals. In this paper, we present a novel method based on sparsity adaptive subspace pursuit (SASP) for FMT reconstruction. Some innovative strategies including subspace projection, the bottom-up sparsity adaptive approach, and backtracking technique are associated with the SASP method, which guarantees the accuracy, efficiency, and robustness for FMT reconstruction. Three numerical experiments based on a mouse-mimicking heterogeneous phantom have been performed to validate the feasibility of the SASP method. The results show that the proposed SASP method can achieve satisfactory source localization with a bias less than 1mm; the efficiency of the method is much faster than mainstream reconstruction methods; and this approach is robust even under quite ill-posed condition. Furthermore, we have applied this method to an in vivo mouse model, and the results demonstrate the feasibility of the practical FMT application with the SASP method. (C) 2014 Optical Society of America |
关键词 | Image Reconstruction Techniques Inverse Problems Tomographic Imaging Light Propagation In Tissues |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences |
关键词[WOS] | DIFFUSE OPTICAL TOMOGRAPHY ; ELEMENT BASED TOMOGRAPHY ; IMAGE-RECONSTRUCTION ; REGULARIZATION ; ALGORITHM ; TISSUE ; LIGHT ; FEASIBILITY ; EQUATIONS ; SYSTEMS |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Biochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Biochemical Research Methods ; Optics ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000331072400005 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/4037 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Tian, Jie |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing 100190, Peoples R China 2.Huawei Technol Co Ltd, Chengdu Inst, Chengdu 611731, Sichuan, Peoples R China 3.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Dept Biomed Engn, Beijing 100044, Peoples R China 4.Northeastern Univ, Sino Dutch Biomed & Informat Engn Sch, Shenyang 110819, Liaoning, Peoples R 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 | Ye, Jinzuo,Chi, Chongwei,Xue, Zhenwen,et al. Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method[J]. BIOMEDICAL OPTICS EXPRESS,2014,5(2):387-406. |
APA | Ye, Jinzuo.,Chi, Chongwei.,Xue, Zhenwen.,Wu, Ping.,An, Yu.,...&Tian, Jie.(2014).Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method.BIOMEDICAL OPTICS EXPRESS,5(2),387-406. |
MLA | Ye, Jinzuo,et al."Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method".BIOMEDICAL OPTICS EXPRESS 5.2(2014):387-406. |
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