Master	Anaconda binaries

A wrapper around ASTRA-toolbox to simplify access to various reconstruction methods

Regularised iterative ordered-subsets FISTA reconstruction algorithm with linear and non-linear data fidelities

Regularised iterative ADMM reconstruction algorithm

Demos to reconstruct synthetic and also real data (provided) [4-6]

• Tomographic projection data can be simulated without the "inverse crime" using TomoPhantom. Noise and artifacts (zingers, rings) can be modelled and added to the data.
• Simulated data reconstructed iteratively using FISTA or ADMM algorithms with multiple "plug-and-play" regularisers from CCPi-RegularisationToolkit.
• The FISTA algorithm offers various modifications: convergence acceleration with ordered-subsets method, PWLS, Huber, Group-Huber[3] and Students't data fidelities [1,2] to deal with noise and imaging artifacts.

• MATLAB or Python

• ASTRA-toolbox for projection operations
• TomoPhantom for simulation
• CCPi-RegularisationToolkit for regularisation
• See INSTALLATION for detailed information

Install from anaconda channel:

conda install -c dkazanc tomobar

or build with:

export VERSION=`date +%Y.%m` (unix) / set VERSION=2019.06 (Windows)
conda build src/Python/conda-recipe --numpy 1.12 --python 3.5
conda install tomobar --use-local --force-reinstall

1. 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.
2. D. Kazantsev et al. 2017. Model-based iterative reconstruction using higher-order regularization of dynamic synchrotron data. Measurement Science and Technology, 28(9), p.094004.
3. P. Paleo and A. Mirone, 2015. Ring artifacts correction in compressed sensing tomographic reconstruction. Journal of synchrotron radiation, 22(5), pp.1268-1278.

4. E. Guo et al. 2018. The influence of nanoparticles on dendritic grain growth in Mg alloys. Acta Materialia.
5. E. Guo et al. 2018. Revealing the microstructural stability of a three-phase soft solid (ice cream) by 4D synchrotron X-ray tomography. Journal of Food Engineering
6. E. Guo et al. 2017. Dendritic evolution during coarsening of Mg-Zn alloys via 4D synchrotron tomography. Acta Materialia
7. E. Guo et al. 2017. Synchrotron X-ray tomographic quantification of microstructural evolution in ice cream–a multi-phase soft solid. Rsc Advances

GNU GENERAL PUBLIC LICENSE v.3

can be addressed to Daniil Kazantsev at dkazanc@hotmail.com