Bioluminescence tomography based on the phase approximation model

被引：12

作者：

Cong, W. ^{[1
]}

Wang, G. ^{[1
]}

机构：

[1] Virginia Polytech Inst & State Univ, Biomed Imaging Div, Sch Biomed Engn & Sci, Blacksburg, VA 24061 USA

来源：

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION | 2010年 / 27卷 / 02期

关键词：

OPTICAL TOMOGRAPHY; RADIATIVE-TRANSFER; LIGHT; RECONSTRUCTION; PROPAGATION; EQUATION; TISSUES; GENE;

D O I：

10.1364/JOSAA.27.000174

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A reconstruction method of bioluminescence sources is proposed based on a phase approximation model. Compared with the diffuse approximation, this phase approximation model more correctly predicts bioluminescence photon propagation in biological tissues, so that bioluminescence tomography can accurately locate and quantify the distribution of bioluminescence sources. The compressive sensing ( CS) technique is applied to regularize the inverse source reconstruction to enhance numerical stability and efficiency. The numerical simulation and phantom experiments demonstrate the feasibility of the proposed approach. (C) 2010 Optical Society of America

引用

页码：174 / 179

页数：6

共 50 条

[41] Comparative studies of lp-regularization-based reconstruction algorithms for bioluminescence tomography
Zhang, Qitan
Chen, Xueli
Qu, Xiaochao
Liang, Jimin
Tian, Jie
BIOMEDICAL OPTICS EXPRESS, 2012, 3 (11): : 2916 - 2936
[42] A source reconstruction algorithm based on adaptive hp-FEM for bioluminescence tomography
Han, Runqiang
Liang, Jimin
Qu, Xiaochao
Hou, Yanbin
Ren, Nunu
Mao, Jingjing
Tian, Jie
OPTICS EXPRESS, 2009, 17 (17): : 14481 - 14494
[43] Parallel Finite Element Reconstruction For Spectrally-solved Bioluminescence Tomography
Lu, Yujie
Chatziioannou, Arion F.
2008 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (2008 NSS/MIC), VOLS 1-9, 2009, : 4680 - 4683
[44] In vivo quantitative bioluminescence tomography using heterogeneous and homogeneous mouse models
Liu, Junting
Wang, Yabin
Qu, Xiaochao
Li, Xiangsi
Ma, Xiaopeng
Han, Runqiang
Hu, Zhenhua
Chen, Xueli
Sun, Dongdong
Zhang, Rongqing
Chen, Duofang
Chen, Dan
Chen, Xiaoyuan
Liang, Jimin
Cao, Feng
Tian, Jie
OPTICS EXPRESS, 2010, 18 (12): : 13102 - 13113
[45] Efficient sparse reconstruction algorithm for bioluminescence tomography based on duality and variable splitting
Guo, Wei
Jia, Kebin
Han, Dong
Zhang, Qian
Liu, Xueyan
Feng, Jinchao
Qin, Chenghu
Ma, Xibo
Tian, Jie
APPLIED OPTICS, 2012, 51 (23) : 5676 - 5685
[46] In vivo heterogeneous tomographic bioluminescence imaging via a higher-order approximation forward model
Liu, Kai
Tian, Jie
Qin, Chenghu
Yang, Xin
MEDICAL IMAGING 2011: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING, 2011, 7965
[47] Total variation regularization for bioluminescence tomography with an adaptive parameter choice approach
Feng, Jinchao
Jia, Xiaowei
Jia, Kebin
Qin, Chenghu
Tian, Jie
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2011, : 3946 - 3949
[48] An approximation error approach for compensating for modelling errors between the radiative transfer equation and the diffusion approximation in diffuse optical tomography
Tarvainen, T.
Kolehmainen, V.
Pulkkinen, A.
Vauhkonen, M.
Schweiger, M.
Arridge, S. R.
Kaipio, J. P.
INVERSE PROBLEMS, 2010, 26 (01)
[49] Source sparsity based primal-dual interior-point method for three-dimensional bioluminescence tomography
Zhang, Qitan
Zhao, Heng
Chen, Duofang
Qu, Xiaochao
Chen, Xueli
He, Xiaowei
Li, Wei
Hu, Zhenhua
Liu, Junting
Liang, Jimin
Tian, Jie
OPTICS COMMUNICATIONS, 2011, 284 (24) : 5871 - 5876
[50] A novel approach for studies of multispectral bioluminescence tomography
Gong, Rongfang
Wang, Ge
Cheng, Xiaoliang
Han, Weimin
NUMERISCHE MATHEMATIK, 2010, 115 (04) : 553 - 583

← 1 2 3 4 5 →