Fluorescence Molecular Tomography via Greedy Method Combinedwith Region-Shrinking Strategy

Dong Fang; Hou Yuqing; Yu Jingjing; Guo Hongbo; He Xiaowei

doi:10.3788/lop53.011701

[1] Bai J, Xu Z. Fluorescence Molecular Tomography[M]. Berlin: Springer, 2013: 185-216.

[2] Deliolanis N C, Ntziachristos V. Fluorescence molecular tomography of brain tumors in mice[J]. Cold Spring Harbor Protocols, 2013(5): 074245.

[3] Zanca C, del Mar Inda M, Bonavia R, et al.. In vivo visualization of heterogeneous cancer cell populations by fluorescence molecular tomography[J]. Cancer Research, 2014, 74(19): 4933.

[4] Liu X, Yan Z Z, Lu H B. Performance evaluation of a priori information on reconstruction of fluorescence molecular tomography[J]. Access, IEEE, 2015, 3: 64-72.

[5] An Y, Liu J, Zhang G L, et al.. A novel region reconstruction method for fluorescence molecular tomography[J]. IEEE Transactions on Biomedical Engineering, 2015, 62(7): 1818-1926.

[6] Song X L, Wang D F, Chen N G, et al.. Reconstruction for free-space fluorescence tomography using a novel hybrid adaptive finite element algorithm[J]. Opt Express, 2007, 15(26): 18300-18317.

[7] Yi H J, Chen D F, Qu X C, et al.. Multilevel, hybrid regularization method for reconstruction of fluorescent molecular tomography[J]. Appl Opt, 2012, 51(7): 975-986.

[8] Han D, Tian J, Liu K, et al.. Sparsity-promoting tomographic fluorescence imaging with simplified spherical harmonics approximation[J]. IEEE Transactions on Biomedical Engineering, 2010, 57(10): 2564-2567.

[9] Nu ez M Z, Arias F X. Comparative analysis of sparse signal reconstruction. Algorithms for compressed sensing[C]. Latin American and Caribbean Conference for Engineering and Technology, 2014.

[10] Needell D, Tropp J, Vershynin R. Greedy signal recovery review[C]. Asilomar Conference on Signals, Systems and Computers, 2008: 1048-1050.

[11] 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]. Opt Express, 2010, 18(24): 24825-24841.

[12] Han D, Tian J, Zhu S P, et al.. A fast reconstruction algorithm for fluorescence molecular tomography with sparsity regularization[J]. Opt Express, 2010, 18(8): 8630-8646.

[13] Zhang Q T, Zhao H, Chen D F, et al.. Source sparsity based primal- dual interior- point method for three- dimensional bioluminescence tomography[J]. Opt Commun, 2011, 284(24): 5871-5876.

[14] Xue Z W, Ma X B, Zhang Q, et al.. Adaptive regularized method based on homotopy for sparse fluorescence tomography[J]. Appl Opt, 2013, 52(11): 2374-2384.

[15] Han D, Yang X, Liu K, et al.. Efficient reconstruction method for L1 regularization in fluorescence molecular tomography [J]. Appl Opt, 2010, 49(36): 6930-6937.

[16] Xue Z, Han D, Tian J. Fast and robust reconstruction approach for sparse fluorescence tomography based on adaptive matching pursuit[C]. SPIE, 2011, 8311: 831107.

[17] Guo H, Hou Y, He X, et al.. Adaptive hp finite element method for fluorescence molecular tomography with simplified spherical harmonics approximation[J]. Journal of Innovative Optical Health Sciences, 2014, 7(2): 1350057.

[18] 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.

CLP Journals