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Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma

文献类型：期刊论文

作者Jiang, Shixin2,3,4; Liu, Jie4; An, Yu2; Gao, Yuan2; Meng, Hui2; Wang, Kun2; Tian, Jie1,2
刊名IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
出版日期2020-05-01
卷号67期号:5页码:1429-1437
关键词Fluorescence Image reconstruction Tumors Reconstruction algorithms Morphology Photonics Inverse problems Fluorescence molecular tomography group sparsity image reconstruction morphological reconstruction
ISSN号0018-9294
DOI10.1109/TBME.2019.2937354
通讯作者Wang, Kun(kun.wang@ia.ac.cn) ; Tian, Jie(tian@ieee.org)
英文摘要Objective: Fluorescence molecular tomography (FMT) is an important tool for life science, which can noninvasive real-time three-dimensional (3-D) visualization for fluorescence source location. FMT is widely used in tumor research due to its high-sensitive and low cost. However, the reconstruction of FMT is difficult. Although the reconstruction methods of FMT have developed rapidly in recent years, the morphological reconstruction of FMT is still a challenge problem. Thus, the purpose of this study is to realize the morphological reconstruction performance of FMT in glioma research. Methods: In this study, group sparsity was used as a new priori information for FMT. Besides sparsity, group sparsity also takes the group structure of the fluorescent sources, which can maintain the morphological information of the sources. Fused LASSO method (FLM) was proved it can efficiently model the group sparsity prior. Thus, we utilize FLM to reconstruct the morphological information of glioma. Furthermore, to reduce the influence of the high scattering of skull, we modified the FLM for improving the accuracy of morphological reconstruction. Results: Glioma numerical simulation model and in vivo glioma model were established to evaluate the performance of morphological reconstruction of the proposed method. The results demonstrated that the proposed method was efficient to reconstruct the morphological information of glioma. Conclusion: Group sparsity priori can effectively improve the morphological accuracy of FMT reconstruction. Significance: Group sparsity can maintain the morphological information of fluorescent sources effectively, which has great application potential in FMT. The group sparsity based methods can realize the morphological reconstruction, which is of great practical significance in tumor research.
WOS关键词ELEMENT BASED TOMOGRAPHY ; THRESHOLDING ALGORITHM ; OPTICAL TOMOGRAPHY ; REGULARIZATION ; LIGHT ; MICROSCOPY ; RESOLUTION ; PURSUIT ; SYSTEM
资助项目National Key Research and Development Program of China[2017YFA0700401] ; National Key Research and Development Program of China[2017YFA0205200] ; National Natural Science Foundation of China[81571836] ; National Natural Science Foundation of China[61601019] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81401471] ; National Natural Science Foundation of China[61671449] ; Beijing Natural Science Foundation[7164270]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000530299200021
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/39405]  
专题自动化研究所_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.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
2.Chinese Acad Sci, CAS Key Lab Mol Imaging, Inst Automat, Beijing 100190, Peoples R China
3.Chongqing Jiaotong Univ, Sch Informat Sci & Engn, Chongqing, Peoples R China
4.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
推荐引用方式
GB/T 7714		 Jiang, Shixin,Liu, Jie,An, Yu,et al. Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2020,67(5):1429-1437.
APA Jiang, Shixin.,Liu, Jie.,An, Yu.,Gao, Yuan.,Meng, Hui.,...&Tian, Jie.(2020).Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,67(5),1429-1437.
MLA Jiang, Shixin,et al."Fluorescence Molecular Tomography Based on Group Sparsity Priori for Morphological Reconstruction of Glioma".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 67.5(2020):1429-1437.

入库方式： OAI收割

来源：自动化研究所

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