[1] PAN X, SIDKY E Y, VANNIER M. Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction?[J]. Inverse Problems, 2008, 25(12):1230009. [2] 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, 1970, 29(3):471-481. [3] BARRETT H H, MYERS K J. Foundations of Image Science[M]. Hoboken, NJ:John Wiley and Sons, Inc., 2004:1069-1072. [4] SIDKY E Y, KAO C M, PAN X. Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT[J]. Journal of X-ray Science and Technology, 2006, 14(2):119-139. [5] 乔志伟. 总变差约束的数据分离最小图像重建模型及其Chambolle-Pock求解算法[J]. 物理学报, 2018, 67(19):362-376. (QIAO Z W. The total variation constrained data divergence minimization model for image reconstruction and its Chambolle-Pock solving algorithm[J]. Acta Physica Sinica, 2018, 67(19):362-376.) [6] SAWATZKY A. (Nonlocal) Total variation in medical imaging[D]. Münster:University of Muenster, 2011:157-182. [7] BUADES A, COLL B, MOREL J M. A review of image denoising algorithms, with a new one[J]. Multiscale Modeling and Simulation, 2005, 4(2):490-530. [8] GILBOA G, OSHER S. Nonlocal operators with applications to image processing[J]. Multiscale Modeling and Simulation, 2008, 7(3):1005-1028. [9] SIDKY E Y, PAN X. Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization[J]. Physics in Medicine and Biology, 2008, 53(17):4777-4807. [10] GOLDSTEIN T, OSHER S. The split Bregman method for L1-regularized problems[J]. SIAM Journal on Imaging Science, 2009, 2(2):323-343. [11] ZHANG X, BURGER M, BRESSON X, et al. Bregmanized nonlocal regularization for deconvolution and sparse reconstruction[J]. SIAM Journal on Imaging Sciences, 2010, 3(3):253-276. [12] LOU Y, ZHANG X, OSHER S, et al. Image recovery via nonlocal operators[J]. Journal of Scientific Computing, 2010, 42(2):185-197. [13] SIDDON R L. Fast calculation of the exact radiological path for a three-dimensional CT array[J]. Medical Physics, 1985, 12(2):252-255. [14] DE MAN B, BASU S. Distance-driven projection and backprojection in three dimensions[J]. Physics in Medicine and Biology, 2004, 49(11):2463-2475. [15] BUADES A, COLL B, MOREL J M. A non-local algorithm for image denoising[C]//Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2005:60-65. [16] 杨富强,张定华,黄魁东,等. CT不完全投影数据重建算法综述[J]. 物理学报, 2014, 63(5):58701. (YANG F Q, ZHANG D H, HUANG K D, et al. Review of reconstruction algorithms with incomplete projection data of computed tomography[J]. Acta Physica Sinica, 2014, 63(5):No. 58701.) [17] GETREUER P. Rudin-Osher-Fatemi total variation denoising using split Bregman[J]. Image Processing on Line, 2012, 2:74-95. [18] ZHANG Y, ZHANG W, ZHOU J. Accurate sparse-projection image reconstruction via nonlocal TV regularization[J]. The Scientific World Journal, 2014, 2014:No. 458496. [19] 高净植,刘祎,白旭,等. 平稳小波域深度残差CNN用于低剂量CT图像估计[J]. 计算机应用, 2018, 38(12):3584-3590. (GAO J Z, LIU Y, BAI X, et al. Stationary wavelet domain deep residual convolutional neural network for low-dose computed tomography image estimation[J]. Journal of Computer Applications, 2018, 38(12):3584-3590.) |