CASIA OpenIR  > 中国科学院分子影像重点实验室
Weight Multispectral Reconstruction Strategy for Enhanced Reconstruction Accuracy and Stability With Cerenkov Luminescence Tomography
Guo, Hongbo1,2; He, Xiaowei1; Liu, Muhan2,3,4; Zhang, Zeyu2,5; Hu, Zhenhua2,5,6; Tian, Jie2,5,6
Source PublicationIEEE TRANSACTIONS ON MEDICAL IMAGING
2017-06-01
Volume36Issue:6Pages:1337-1346
SubtypeArticle
AbstractCerenkov luminescence tomography (CLT) provides a novel technique for 3-D noninvasive detection of radiopharmaceuticals in living subjects. However, because of the severe scattering of Cerenkov light, the reconstruction accuracy and stability of CLT is still unsatisfied. In this paper, a modified weight multispectral CLT (wmCLT) reconstruction strategy was developed which split the Cerenkov radiation spectrum into several sub-spectral bands and weighted the sub-spectral results to obtain the final result. To better evaluate the property of the wmCLT reconstruction strategy in terms of accuracy, stability and practicability, several numerical simulation experiments and in vivo experiments were conducted and the results obtained were compared with the traditional multispectral CLT (mCLT) and hybrid-spectral CLT (hCLT) reconstruction strategies. The numerical simulation results indicated that wmCLT strategy significantly improved the accuracy of Cerenkov source localization and intensity quantitation and exhibited good stability in suppressing noise in numerical simulation experiments. And the comparison of the results achieved from different in vivo experiments further indicated significant improvement of the wmCLT strategy in terms of the shape recovery of the bladder and the spatial resolution of imaging xenograft tumors. Overall the strategy reported here will facilitate the development of nuclear and optical molecular tomography in theoretical study.
KeywordCerenkov Luminescence Tomography Weight Multispectral Reconstruction Inverse Problem
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1109/TMI.2017.2658661
WOS KeywordCONJUGATE-GRADIENT METHOD ; BIOLUMINESCENCE TOMOGRAPHY ; SPARSE RECONSTRUCTION ; CANCER ; PET
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(81227901 ; National Key Research and Development Program of China(2016YFC0102600) ; 61372046 ; 81527805 ; 61231004 ; 61622117 ; 11571012 ; 81671759 ; 61302024)
WOS Research AreaComputer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000402722500012
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15123
Collection中国科学院分子影像重点实验室
Affiliation1.Northwest Univ, Sch Informat Sci & Technol, Xian 710069, Peoples R China
2.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing 100190, Peoples R China
3.Xidian Univ, Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Xian 710071, Peoples R China
4.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Peoples R China
5.Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
6.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Guo, Hongbo,He, Xiaowei,Liu, Muhan,et al. Weight Multispectral Reconstruction Strategy for Enhanced Reconstruction Accuracy and Stability With Cerenkov Luminescence Tomography[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2017,36(6):1337-1346.
APA Guo, Hongbo,He, Xiaowei,Liu, Muhan,Zhang, Zeyu,Hu, Zhenhua,&Tian, Jie.(2017).Weight Multispectral Reconstruction Strategy for Enhanced Reconstruction Accuracy and Stability With Cerenkov Luminescence Tomography.IEEE TRANSACTIONS ON MEDICAL IMAGING,36(6),1337-1346.
MLA Guo, Hongbo,et al."Weight Multispectral Reconstruction Strategy for Enhanced Reconstruction Accuracy and Stability With Cerenkov Luminescence Tomography".IEEE TRANSACTIONS ON MEDICAL IMAGING 36.6(2017):1337-1346.
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