Dynamic compressed sensing for real-time tomographic reconstruction.
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[1] Wojciech Czaja,et al. Compressed Sensing Electron Tomography for Determining Biological Structure , 2016, Scientific Reports.
[2] Li Liu,et al. Fast alternating projection methods for constrained tomographic reconstruction , 2017, PloS one.
[3] Françoise Peyrin,et al. Evaluation of noise and blur effects with SIRT-FISTA-TV reconstruction algorithm: Application to fast environmental transmission electron tomography. , 2018, Ultramicroscopy.
[4] G. Herman,et al. Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and x-ray photography. , 1970, Journal of theoretical biology.
[5] Colin Ophus,et al. Nanomaterial datasets to advance tomography in scanning transmission electron microscopy , 2016, Scientific Data.
[6] Yi Jiang,et al. Sampling Limits for Electron Tomography with Sparsity-exploiting Reconstructions , 2018, Ultramicroscopy.
[7] D. Muller,et al. A Simple Preparation Method for Full-Range Electron Tomography of Nanoparticles and Fine Powders , 2017, Microscopy and Microanalysis.
[8] A. Kak,et al. Simultaneous Algebraic Reconstruction Technique (SART): A Superior Implementation of the Art Algorithm , 1984, Ultrasonic imaging.
[9] E. Sidky,et al. Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT , 2009, 0904.4495.
[10] Per Christian Hansen,et al. Multicore Performance of Block Algebraic Iterative Reconstruction Methods , 2014, SIAM J. Sci. Comput..
[11] L. Xing,et al. Metal artifact reduction in x-ray computed tomography (CT) by constrained optimization. , 2011, Medical physics.
[12] Rolf Hempel,et al. The MPI Message Passing Interface Standard , 1994 .
[13] Veit Elser,et al. Hierarchical Porous Polymer Scaffolds from Block Copolymers , 2013, Science.
[14] Ya-Xiang Yuan,et al. A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property , 1999, SIAM J. Optim..
[15] V. Lučić,et al. Quantitative analysis of the native presynaptic cytomatrix by cryoelectron tomography , 2010, The Journal of cell biology.
[16] Mirko Holler,et al. Alignment methods for nanotomography with deep subpixel accuracy. , 2019, Optics express.
[17] E. Sidky,et al. Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization , 2008, Physics in medicine and biology.
[18] Ian T. Foster,et al. Rapid Tomographic Image Reconstruction via Large-Scale Parallelization , 2015, Euro-Par.
[19] Per Christian Hansen,et al. Semi-convergence properties of Kaczmarz’s method , 2014 .
[20] P. Midgley,et al. Three-dimensional morphology of iron oxide nanoparticles with reactive concave surfaces. A compressed sensing-electron tomography (CS-ET) approach. , 2011, Nano letters.
[21] R. Vershynin,et al. A Randomized Kaczmarz Algorithm with Exponential Convergence , 2007, math/0702226.
[22] P. Midgley,et al. 3D electron microscopy in the physical sciences: the development of Z-contrast and EFTEM tomography. , 2003, Ultramicroscopy.
[23] Xiaochuan Pan,et al. A constrained, total-variation minimization algorithm for low-intensity x-ray CT. , 2010, Medical physics.
[24] Yi Jiang,et al. Removing Stripes, Scratches, and Curtaining with Nonrecoverable Compressed Sensing , 2019, Microscopy and Microanalysis.
[25] D. Muller,et al. Three-Dimensional Measurement of Line Edge Roughness in Copper Wires Using Electron Tomography , 2009, Microscopy and Microanalysis.
[26] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[27] Yitong Liu,et al. A joint deep learning model to recover information and reduce artifacts in missing-wedge sinograms for electron tomography and beyond , 2019, Scientific Reports.
[28] D. L. Donoho,et al. Compressed sensing , 2006, IEEE Trans. Inf. Theory.
[29] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[30] Yonina C. Eldar,et al. Structured Compressed Sensing: From Theory to Applications , 2011, IEEE Transactions on Signal Processing.
[31] D. J. De Rosier,et al. Reconstruction of Three Dimensional Structures from Electron Micrographs , 1968, Nature.
[32] P. Gilbert. Iterative methods for the three-dimensional reconstruction of an object from projections. , 1972, Journal of theoretical biology.
[33] Dirk A. Lorenz,et al. Testable uniqueness conditions for empirical assessment of undersampling levels in total variation-regularized X-ray CT , 2014, ArXiv.
[34] Robert Hovden,et al. Three-dimensional tracking and visualization of hundreds of Pt-Co fuel cell nanocatalysts during electrochemical aging. , 2012, Nano letters.
[35] L. Dagum,et al. OpenMP: an industry standard API for shared-memory programming , 1998 .
[36] Emmanuel J. Candès,et al. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.
[37] S. Kaczmarz. Approximate solution of systems of linear equations , 1993 .
[38] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[39] Jeffrey A. Fessler,et al. Generalizing the Optimized Gradient Method for Smooth Convex Minimization , 2016, SIAM J. Optim..