References#
Note
To cite ToMoBAR please use [CT2020] paper.
D. Kazantsev and N. Wadeson. 2020, Tomographic MOdel-BAsed Reconstruction (ToMoBAR) software for high resolution synchrotron X-ray tomography, CT Meeting 2020. Download here.
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D. Kazantsev, N. Wadeson, M. Basham, 2022. High performance Savu software for fast 3D model-based iterative reconstruction of large data at Diamond Light Source. SoftwareX, 19, p.101157.
A. Beck and M. Teboulle, 2009, A fast iterative shrinkage-thresholding algorithm for linear inverse problems, SIAM Journal on Imaging Sciences, vol. 2, no. 1, pp. 183–202.
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Q. Xu et al., 2016. Accelerated fast iterative shrinkage thresholding algorithms for sparsity‐regularized cone‐beam CT image reconstruction. Medical physics, 43(4), pp.1849-1872.
D. Kazantsev et al. 2017. A Novel Tomographic Reconstruction Method Based on the Robust Student’s t Function For Suppressing Data Outliers. IEEE TCI, 3(4), pp.682-693.
D. Kazantsev et al. 2019. CCPi-Regularisation toolkit for computed tomographic image reconstruction with proximal splitting algorithms. SoftwareX, 9, pp.317-323.
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