[1] Buzug T M. Computed tomography: From photon statistics to modern cone-beam CT[M]. Berlin Heidelberg: Springer-Verlag(2008).

[2] Feldkamp L A, Davis L C, Kress J W. Practical cone-beam algorithm[J]. Journal of the Optical Society of America A, 1, 612-619(1984).

[3] Liu Y, Liang Z R, Ma J H et al. Total variation-stokes strategy for sparse-view X-ray CT image reconstruction[J]. IEEE Transactions on Medical Imaging, 33, 749-763(2014). http://ieeexplore.ieee.org/document/6690189/

[4] Xu Q, Yu H Y, Mou X Q et al. Low-dose X-ray CT reconstruction via dictionary learning[J]. IEEE Transactions on Medical Imaging, 31, 1682-1697(2012). http://europepmc.org/articles/PMC3777547

[5] Tuy H K. An inversion formula for cone-beam reconstruction[J]. SIAM Journal on Applied Mathematics, 43, 546-552(1983). http://www.jstor.org/stable/2101324

[6] Smith B D. Image reconstruction from cone-beam projections: Necessary and sufficient conditions and reconstruction methods[J]. IEEE Transactions on Medical Imaging, 4, 14-25(1985). http://www.ncbi.nlm.nih.gov/pubmed/18243947

[7] Natterer F, Wubbeling F. Mathematical methods in image reconstruction[M]. Philadelphia: Society for Industrial and Applied Mathematics(2001).

[8] Gordon R, Bender R, Herman G T. Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and X-ray photography[J]. Journal of Theoretical Biology, 29, 471-481(1970). http://www.sciencedirect.com/science/article/pii/0022519370901098

[9] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 52, 1289-1306(2006).

[10] Romberg J, Tao T. Exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on Information Theory, 52, 489-509(2006). http://www.researchgate.net/publication/239222885_Exact_signal_reconstruction_from_highly_incomplete_frequency_information

[11] Sidky E Y, Kao C M, Pan X C. Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT[J]. Journal of X-ray Science and Technology, 14, 119-139(2006). http://arxiv.org/abs/0904.4495

[12] Sidky E Y, Pan X C. Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization[J]. Physics in Medicine & Biology, 53, 4777-4807(2008). http://pubmedcentralcanada.ca/pmcc/articles/PMC2630711/

[13] Ma J M, Zhang J Q, Song G Z et al. Total variation constrained iterative filtered backprojection CT reconstruction method[J]. Acta Optica Sinica, 32, 0234002(2015).

[14] Jia X, Lou Y F, Li R J et al. GPU-based fast cone beam CT reconstruction from undersampled and noisy projection data via total variation[J]. Medical Physics, 37, 1757-1760(2010). http://new.med.wanfangdata.com.cn/Paper/Detail?id=PeriodicalPaper_JJ0217567178

[15] Liu R, Luo Y, Yu H Y. GPU-based acceleration for interior tomography[J]. IEEE Access, 2, 757-770(2014). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6857986

[16] Li B, Tian Z, Zhou L X et al. Employing a novel consensus optimization strategy to achieve iterative cone beam CT reconstruction on a multi-GPU platform[J]. Medical Physics, 40, 3344-3345(2016). http://onlinelibrary.wiley.com/doi/10.1118/1.4955655/abstract

[17] Wang X Y, Yan H, Cervino L et al. Iterative cone beam CT reconstruction on a multi-GPU platform[J]. Medical Physics, 40, 543(2013).

[18] Fehringer A, Lasser T, Zanette I et al. A versatile tomographic forward-and back-projection approach on multi-GPUs[C]. SPIE, 9034, 90344F(2014).

[19] Peng Z M, Xu Y Y, Yan M et al. ARock: An algorithmic framework for asynchronous parallel coordinate updates[J]. SIAM Journal on Scientific Computing, 38, A2851-A2879(2016). http://arxiv.org/ps/1506.02396