Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Robust Reconstruction of Fluorescence Molecular Tomography Based on Sparsity Adaptive Correntropy Matching Pursuit Method for Stem Cell Distribution | |
Zhang, Shuai1,2; Ma, Xibo3,4,5,6; Wang, Yi7; Wu, Meng8; Meng, Hui3,4,5,6; Chai, Wei7; Wang, Xiaojie8; Wei, Shoushui1; Tian, Jie3,4,5,6 | |
发表期刊 | IEEE TRANSACTIONS ON MEDICAL IMAGING |
ISSN | 0278-0062 |
2018-10-01 | |
卷号 | 37期号:10页码:2176-2184 |
摘要 | Fluorescence molecular tomography (FMT), as a promising imaging modality in preclinical research, can obtain the three-dimensional (3-D) position information of the stem cell in mice. However, because of the ill-posed nature and sensitivity to noise of the inverse problem, it is a challenge to develop a robust reconstruction method, which can accurately locate the stem cells and define the distribution. In this paper, we proposed a sparsity adaptive correntropy matching pursuit (SACMP) method. SACMP method is independent on the noise distribution of measurements and it assigns small weights on severely corrupted entries of data and large weights on clean ones adaptively. These properties make it more suitable for in vivo experiment. To analyze the performance in terms of robustness and practicability of SACMP, we conducted numerical simulation and in vivo mice experiments. The results demonstrated that the SACMP method obtained the highest robustness and accuracy in locating stem cells and depicting stem cell distribution compared with stagewise orthogonal matching pursuit and sparsity adaptive subspace pursuit reconstruction methods. To the best of our knowledge, this is the first study that acquired such accurate and robust FMT distribution reconstruction for stem cell tracking in mice brain. This promotes the application of FMT in locating stem cell and distribution reconstruction in practical mice brain injury models. |
关键词 | Fluorescence molecular tomography inverse problem sparsity adaptive correntropy matching pursuit robust reconstruction |
DOI | 10.1109/TMI.2018.2825102 |
关键词[WOS] | DIFFUSE OPTICAL TOMOGRAPHY ; IMAGE RECOVERY ; REGULARIZATION ; ALGORITHM ; MAXIMIZATION ; TRACKING ; SIGNAL |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[61231004] ; National Key Research Program of China[2016YFA0100900] ; National Key Research Program of China[2016YFA0100902] ; National Key Research Program of China[2017YFA0205200] ; National Natural Science Foundation of China[815270805] ; National Natural Science Foundation of China[81471739] ; National Natural Science Foundation of China[81472594] ; National Natural Science Foundation of China[81770781] ; Scientific Research and Equipment Development Project of Chinese Academy of Sciences[YZ201457] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[61231004] ; National Key Research Program of China[2016YFA0100900] ; National Key Research Program of China[2016YFA0100902] ; National Key Research Program of China[2017YFA0205200] ; National Natural Science Foundation of China[815270805] ; National Natural Science Foundation of China[81471739] ; National Natural Science Foundation of China[81472594] ; National Natural Science Foundation of China[81770781] ; Scientific Research and Equipment Development Project of Chinese Academy of Sciences[YZ201457] |
WOS研究方向 | Computer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000446342100002 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/28112 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Ma, Xibo; Wei, Shoushui; Tian, Jie |
作者单位 | 1.Shandong Univ, Inst Biomed Engn, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China 2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China 3.Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China 4.Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China 5.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 7.Chinese Peoples Liberat Army Gen Hosp, Med Coll PLA, Beijing 100853, Peoples R China 8.Ludong Univ, Sch Life Sci, Yantai 264001, Peoples R China |
第一作者单位 | 中国科学院分子影像重点实验室 |
通讯作者单位 | 中国科学院分子影像重点实验室; 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhang, Shuai,Ma, Xibo,Wang, Yi,et al. Robust Reconstruction of Fluorescence Molecular Tomography Based on Sparsity Adaptive Correntropy Matching Pursuit Method for Stem Cell Distribution[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2018,37(10):2176-2184. |
APA | Zhang, Shuai.,Ma, Xibo.,Wang, Yi.,Wu, Meng.,Meng, Hui.,...&Tian, Jie.(2018).Robust Reconstruction of Fluorescence Molecular Tomography Based on Sparsity Adaptive Correntropy Matching Pursuit Method for Stem Cell Distribution.IEEE TRANSACTIONS ON MEDICAL IMAGING,37(10),2176-2184. |
MLA | Zhang, Shuai,et al."Robust Reconstruction of Fluorescence Molecular Tomography Based on Sparsity Adaptive Correntropy Matching Pursuit Method for Stem Cell Distribution".IEEE TRANSACTIONS ON MEDICAL IMAGING 37.10(2018):2176-2184. |
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