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Three-dimensional localization of in vivo bioluminescent source based on multispectral imaging
Feng, Jinchao; Jia, Kebin; Tian, Jie; Yan, Guorui; Zhu, Shouping
2009
会议名称Progress in Biomedical Optics and Imaging - SPIE
会议录名称Progress in Biomedical Optics and Imaging - SPIE
会议日期2009
会议地点Lake Buena Vista Florida
摘要Bioluminescence tomography (BLT) is a novel in vivo technique in small animal studies, which can reveal the molecular and cellular information at the whole-body small animal level. At present, there is an increasing interest in multispectral bioluminescence tomography, since multispectral data acquisition could improve the BLT performance significantly. In view to the ill-posedness of BLT problem, we develop an optimal permissible source region strategy to constrain the possible solution of the source by utilizing spectrum character of bioluminescent source. Then a linear system to link the measured data with the unknown light source variables is established by utilizing the optimal permissible region strategy based on adaptive finite element analysis. Furthermore,singular value decomposition analysis is used for data dimensionality reduction and improving computational efficiency in multispectral case. The reconstructed speed and stability benefit from adaptive finite element, the permissible region strategy and singular value decomposition. In the numerical simulation, the heterogeneous phantom experiment has been used to evaluate the performance of the proposed algorithm with the Monte Carlo
based synthetic data. The reconstruction results demonstrate the merits and potential of our methodology for localizing bioluminescent source.
关键词Multispectral Bioluminescence Tomography Optimal Permissible Source Region Diffusion Approximation Adaptive Finite Element Method Singular Value Decomposition Analysis Monte Carlo Methods
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/5447
专题中国科学院分子影像重点实验室
通讯作者Tian, Jie
推荐引用方式
GB/T 7714
Feng, Jinchao,Jia, Kebin,Tian, Jie,et al. Three-dimensional localization of in vivo bioluminescent source based on multispectral imaging[C],2009.
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