[1] 张瀚铭. CT不完全数据重建算法研究[D]. 北京: 信息工程大学, 2017.

    Zhang HM. Computed tomography image reconstruction with incomplete projection data[D]. Beijing: University of Information Engineering, 2017.

[2] 王成祥. 有限角CT的正则化图像重建算法研究[D]. 重庆: 重庆大学, 2016.

    Wang CX. Regularization based image reconstruction algorithms for limited-angle CT[D]. Chongqing: Chongqing University, 2016.

[3] Frikel J, Quinto E T. Characterization and reduction of artifacts in limited angle tomography[J]. Inverse Problems, 2013, 29(12): 125007.

[4] Jiang M, Wang G. Development of iterative algorithms for image reconstruction[J]. Journal of X-Ray Science and Technology, 2002, 10: 77-86.

[5] Andersen A H, Kak A C. Simultaneous algebraic reconstruction technique (SART): a superior implementation of the ART algorithm[J]. Ultrasonic Imaging, 1984, 6(1): 81-94.

[6] Dempster A P, Laird N M, Rubin D B. Maximum likelihood from incomplete data via the EM algorithm[J]. Journal of the Royal Statistical Society: Series B (Methodological), 1977, 39(1): 1-22.

[7] Browne J, de Pierro A B. A row-action alternative to the EM algorithm for maximizing likelihood in emission tomography[J]. IEEE Transactions on Medical Imaging, 1996, 15(5): 687-699.

[8] 马继明, 张建奇, 宋顾周, 等. 全变分约束迭代滤波反投影CT重建[J]. 光学学报, 2015, 35(2): 0234002.

    Ma J M, Zhang J Q, Song G Z, et al. Total variation constrained iterative filtered backprojection CT reconstruction method[J]. Acta Optica Sinica, 2015, 35(2): 0234002.

[9] Sidky EY, Kao CM, Pan X C. Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT[EB/OL]. ( 2009-04-28)[2020-08-03]. org/abs/0904. 4495. https://arxiv.

[10] Chen Z Q, Jin X, Li L, et al. A limited-angle CT reconstruction method based on anisotropic TV minimization[J]. Physics in Medicine and Biology, 2013, 58(7): 2119-2141.

[11] Bredies K, Kunisch K, Pock T. Total generalized variation[J]. SIAM Journal on Imaging Sciences, 2010, 3(3): 492-526.

[12] Zhang Y, Zhang W, Lei Y, et al. Few-view image reconstruction with fractional-order total variation[J]. Journal of the Optical Society of America. A, Optics, Image Science, and Vision, 2014, 31(5): 981-995.

[13] Gong C C, Zeng L. Adaptive iterative reconstruction based on relative total variation for low-intensity computed tomography[J]. Signal Processing, 2019, 165: 149-162.

[14] 卢孝强, 孙怡. 基于乘性正则化的有限角度CT重建算法[J]. 光学学报, 2010, 30(5): 1285-1290.

    Lu X Q, Sun Y. Limited angle computed tomography reconstruction algorithm based on multiplicative regularization method[J]. Acta Optica Sinica, 2010, 30(5): 1285-1290.

[15] Yu W, Wang C X, Huang M. Edge-preserving reconstruction from sparse projections of limited-angle computed tomography using ℓ0-regularized gradient prior[J]. The Review of Scientific Instruments, 2017, 88(4): 043703.

[16] Chen G H, Tang J, Leng S. Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets[J]. Medical Physics, 2008, 35(2): 660-663.

[17] 刘进, 亢艳芹, 顾云波, 等. 稀疏张量约束的低剂量CT图像重建[J]. 光学学报, 2019, 39(8): 0811004.

    Liu J, Kang Y Q, Gu Y B, et al. Low dose computed tomography image reconstruction based on sparse tensor constraint[J]. Acta Optica Sinica, 2019, 39(8): 0811004.

[18] Cai A L, Wang L Y, Zhang H M, et al. Edge guided image reconstruction in linear scan CT by weighted alternating direction TV minimization[J]. Journal of X-Ray Science and Technology, 2014, 22(3): 335-349.

[19] 张伶俐. 有限角及低信噪比CT图像重建的优化模型与算法研究[D]. 重庆: 重庆大学, 2018.

    Zhang LL. Optimization model and algorithm analysis for limited-angle and low SNR CT image reconstruction[D]. Chongqing: Chongqing University, 2018.

[20] Zhang H, Huang J, Ma J, et al. Iterative reconstruction for X-ray computed tomography using prior-image induced nonlocal regularization[J]. IEEE Transactions on Biomedical Engineering, 2014, 61(9): 2367-2378.

[21] 张海娇, 孔慧华, 孙永刚. 基于结构先验的加权NLTV能谱CT重建算法[J]. 光学学报, 2018, 38(8): 0811003.

    Zhang H J, Kong H H, Sun Y G. Weighted NLTV reconstruction algorithm based on structural prior information for spectral CT[J]. Acta Optica Sinica, 2018, 38(8): 0811003.

[22] Chen H, Zhang Y, Kalra M K, et al. Low-dose CT with a residual encoder-decoder convolutional neural network[J]. IEEE Transactions on Medical Imaging, 2017, 36(12): 2524-2535.

[23] 朱斯琪, 王珏, 蔡玉芳. 基于改进型生成对抗网络的低剂量CT去噪算法[J]. 光学学报, 2020, 40(22): 2210002.

    Zhu S Q, Wang J, Cai Y F. Low-dose CT denoising algorithm based on improved CycleGAN[J]. Acta Optica Sinica, 2020, 40(22): 2210002.