[1] [1] Qin C H, Feng J C, Zhu S P, et al. Recent advances in bioluminescence tomography: Methodology and system as well as application［J］. Laser & Photonics Reviews, 2014, 8(1): 94-114.

[2] [2] Yu J J, Zhang B, Iordachita I I, et al. Systematic study of target localization for bioluminescence tomography guided radiation therapy［J］. Medical Physics, 2016, 43(5): 2619-2629.

[3] [3] Cong W X, Wang G, Durairaj K, et al. Practical reconstruction method for bioluminescence tomography［J］. Optics Express, 2005, 13(8): 6756-6771.

[4] [4] Han W M, Cong W X, Wang G. Mathematical theory and numerical analysis of bioluminescence tomography［J］. Inverse Problems, 2006, 22(5): 1659-1675.

[5] [5] Naser M A, Patterson M S. Algorithms for bioluminescence tomography incorporating anatomical information and reconstruction of tissue optical properties［J］. Biomedical Optics Express, 2010, 1(2): 512-526.

[6] [6] Naser M A, Patterson M S. Bioluminescence tomography using eigenvectors expansion and iterative solution for the optimized permissible source region［J］. Biomedical Optics Express, 2011, 2(11): 3179-3193.

[7] [7] Ren S H, Hu H H, Li G, et al. Multi-atlas registration and adaptive hexahedral voxel discretization for fast bioluminescence tomography［J］. Biomedical Optics Express, 2016, 7(4): 1549-1560.

[8] [8] Dehghani H, Davis S C, Jiang S D, et al. Spectrally resolved bioluminescence optical tomography［J］. Optics Letters, 2006, 31(3): 365-367.

[9] [9] Feng J C, Jia K B, Qin C H, et al. Sparse Bayesian reconstruction method for multispectral bioluminescence tomography［J］. Chinese Optics Letters, 2010, 8(10): 1010-1014.

[10] [10] Taylor S L, Mason S K, Glinton S L, et al. Accounting for filter bandwidth improves the quantitative accuracy of bioluminescence tomography［J］. Journal of Biomedical Optics, 2015, 20(9): 096001.

[11] [11] Lu Y, Zhang X, Douraghy A, et al. Source reconstruction for spectrally-resolved bioluminescence tomography with sparse A priori information［J］. Optics Express, 2009, 17(10): 8062-8080.

[12] [12] Jin Chen, Guo Hongbo, Hou Yuqing, et al. Bioluminescence tomography reconstruction based on simplified spherical harmonics approximation model and sparse reconstruction by separable approximation［J］. Acta Optica Sinica, 2014, 34(6): 0617001.

[13] [13] He X W, Liang J M, Wang X R, et al. Sparse reconstruction for quantitative bioluminescence tomography based on the incomplete variables truncated conjugate gradient method［J］. Optics Express, 2010, 18(24): 24825-24841.

[14] [14] Liu K, Tian J, Qin C, et al. Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models［J］. Journal of Biomedical Physics, 2011, 16(4): 046016.

[15] [15] Liu Hejuan, Hou Yuqing, He Xiaowei, et al. A comparative study and evaluation on several typical iterative methods for bioluminescence tomography［J］. Laser & Optoelectronics Progress, 2015, 52(8): 081704.

[16] [16] Yu J J, Liu F, Wu J, et al. Fast source reconstruction for bioluminescence tomography based on sparse regularization［J］. IEEE Transactions on Biomedical Engineering, 2010, 57(10): 2583-2586.

[17] [17] Hu Y F, Liu J, Leng C C, et al. Lp regularization for bioluminescence tomography based on the split Bregman method［J］. Molecular Imaging and Biology, 2016, 18(6): 830-837.

[18] [18] Chen X L, Yang D F, Zhang Q T, et al. L1/2 regularization based numerical method for effective reconstruction of bioluminescence tomography［J］. Journal of Applied Physics, 2014, 115(18): 184702.

[19] [19] Wang Xichang. Steady-state diffusion equation of light in semi-infinite multilayer rectangular biological tissues［J］. Acta Optica Sinica, 2016, 36(3): 0317003.

[20] [20] Alexandrakis G, Rannou F R, Chatziioannou A F. Tomographic bioluminescence imaging by use of a combined optical-PET (OPET) system: A computer simulation feasibility study［J］. Physics in Medicine and Biology, 2005, 50(17): 4225-4241.