Compactly Supported Radial Basis Function-Based Meshless Method for Photon Propagation Model of Fluorescence Molecular Tomography | |
An, Yu1,2; Liu, Jie1; Zhang, Guanglei1; Jiang, Shixin1; Ye, Jinzuo2![]() ![]() ![]() | |
刊名 | IEEE TRANSACTIONS ON MEDICAL IMAGING
![]() |
2017-02-01 | |
卷号 | 36期号:2页码:366-373 |
关键词 | Compactly Supported Radial Basis Function Fluorescence Molecular Tomography Meshless Method Photon Propagation Model |
DOI | 10.1109/TMI.2016.2601311 |
文献子类 | Article |
英文摘要 | Fluorescence Molecular Tomography (FMT) is a powerful imaging modality for the research of cancer diagnosis, disease treatment and drug discovery. Via three-dimensional (3-D) imaging reconstruction, it can quantitatively and noninvasively obtain the distribution of fluorescent probes in biological tissues. Currently, photon propagation of FMT is conventionally described by the Finite Element Method (FEM), and it can obtain acceptable image quality. However, there are still some inherent inadequacies in FEM, such as time consuming, discretization error and inflexibility in mesh generation, which partly limit its imaging accuracy. To further improve the solving accuracy of photon propagation model (PPM), we propose a novel compactly supported radial basis functions (CSRBFs)-based meshless method (MM) to implement the PPM of FMT. We introduced a series of independent nodes and continuous CSRBFs to interpolate the PPM, which can avoid complicated mesh generation. To analyze the performance of the proposedMM, we carried out numerical heterogeneous mouse simulation to validate the simulated surface fluorescent measurement. Then we performedan in vivo experiment to observe the tomographic reconstruction. The experimental results confirmed that our proposed MM could obtain more similar surface fluorescence measurement with the golden standard (Monte-Carlo method), and more accurate reconstruction result was achieved via MM in in vivo application. |
WOS关键词 | L-P REGULARIZATION ; BIOLUMINESCENCE TOMOGRAPHY ; BIOLOGICAL TISSUE ; GALERKIN METHOD ; RECONSTRUCTION ; COLLOCATION ; TECHNOLOGY ; ALGORITHM ; TRANSPORT ; SYSTEM |
WOS研究方向 | Computer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
语种 | 英语 |
WOS记录号 | WOS:000396115800002 |
资助机构 | National Natural Science Foundation of China(81571836 ; Open Research Project from SKLMCCS(20150103) ; Beijing Natural Science Foundation(7164270) ; Fundamental Research Funds for the Central Universities(2015JBM026) ; China Postdoctoral Science Foundation(2015M570032) ; 81227901 ; 61231004 ; 61501462 ; KKA309004533) |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/14389] ![]() |
专题 | 自动化研究所_中国科学院分子影像重点实验室 |
作者单位 | 1.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Dept Biomed Engn, Beijing 100044, Peoples R China 2.Chinese Acad Sci, Key Lab Mol Imaging, Inst Automat, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | An, Yu,Liu, Jie,Zhang, Guanglei,et al. Compactly Supported Radial Basis Function-Based Meshless Method for Photon Propagation Model of Fluorescence Molecular Tomography[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2017,36(2):366-373. |
APA | An, Yu.,Liu, Jie.,Zhang, Guanglei.,Jiang, Shixin.,Ye, Jinzuo.,...&Tian, Jie.(2017).Compactly Supported Radial Basis Function-Based Meshless Method for Photon Propagation Model of Fluorescence Molecular Tomography.IEEE TRANSACTIONS ON MEDICAL IMAGING,36(2),366-373. |
MLA | An, Yu,et al."Compactly Supported Radial Basis Function-Based Meshless Method for Photon Propagation Model of Fluorescence Molecular Tomography".IEEE TRANSACTIONS ON MEDICAL IMAGING 36.2(2017):366-373. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论