Bibliography

Bibliography#

[1]

Fredrik Andersson, Marcus Carlsson, and Viktor V Nikitin. Fast algorithms and efficient gpu implementations for the radon transform and the back-projection operator represented as convolution operators. SIAM Journal on Imaging Sciences, 9(2):637–664, 2016.

[2]

Amir Beck and Marc Teboulle. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM journal on imaging sciences, 2(1):183–202, 2009.

[3]

Tony F Chan, Gene H Golub, and Pep Mulet. A nonlinear primal-dual method for total variation-based image restoration. SIAM journal on scientific computing, 20(6):1964–1977, 1999.

[4]

Daniil Kazantsev, Edoardo Pasca, Martin J Turner, and Philip J Withers. Ccpi-regularisation toolkit for computed tomographic image reconstruction with proximal splitting algorithms. SoftwareX, 9:317–323, 2019.

[5]

Daniil Kazantsev and Nicola Wadeson. Tomographic model-based reconstruction (tomobar) software for high resolution synchrotron x-ray tomography. In CT Meeting, volume 2020. 2020.

[6]

Carsten Raven. Numerical removal of ring artifacts in microtomography. Review of scientific instruments, 69(8):2978–2980, 1998.

[7]

Leonid I Rudin, Stanley Osher, and Emad Fatemi. Nonlinear total variation based noise removal algorithms. Physica D: nonlinear phenomena, 60(1-4):259–268, 1992.

[8]

Sofya Titarenko, Philip J Withers, and Anatoly Yagola. An analytical formula for ring artefact suppression in x-ray tomography. Applied Mathematics Letters, 23(12):1489–1495, 2010.

[9]

Wim Van Aarle, Willem Jan Palenstijn, Jeroen Cant, Eline Janssens, Folkert Bleichrodt, Andrei Dabravolski, Jan De Beenhouwer, K Joost Batenburg, and Jan Sijbers. Fast and flexible x-ray tomography using the astra toolbox. Optics express, 24(22):25129–25147, 2016.

[10]

Nghia T Vo, Robert C Atwood, and Michael Drakopoulos. Superior techniques for eliminating ring artifacts in x-ray micro-tomography. Optics express, 26(22):28396–28412, 2018.