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TVR-DART and DART implemented with ODL and ASTRA

This repository contains the code for the article "High-level algorithm prototyping: an example extending the TVR-DART algorithm" by A. Ringh, X. Zhuge, W. J. Palenstijn, K. J. Batenburg, and O. Öktem.

The code contains the following

Files containing the implementation of the relevant operators and functionals.
A script running the TVR-DART algorithm. All figures in the article is from this script.
Code from odl which contains minor modifications compared to commit 32842320a (which is essentially release 0.6.0, when it comes to changes in these parts of the code). These are default_functionals.py, steplen.py, and tensor_ops.py. The modifications are marked in the code
A script running the DART algorithm.
A test phantom.

Installing and running the code

Clone the repository. Then, using miniconda run the following commands to set up a new environment (essentially follow the odl installation instructions)

$ conda create -c odlgroup -n my_env python=3.5 odl=0.6.0 matplotlib pytest scikit-image spyder
$ source activate my_env
$ conda install -c astra-toolbox astra-toolbox

After this, the scripts can be run using, e.g., spyder.

Contact

Axel Ringh, PhD student
KTH Royal Institute of Technology, Stockholm, Sweden
aringh@kth.se

Xiaodong Zhuge, Researcher
Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
x.zhuge@cwi.nl

Willem Jan Palenstijn, Researcher
Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
willem.jan.palenstijn@cwi.nl

Joost Batenburg, Professor
Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
Leiden University, Leiden, The Netherlands
joost.batenburg@cwi.nl

Ozan Öktem, Associate Professor
KTH, Royal Institute of Technology
ozan@kth.se

Awesome

TVR-DART and DART implemented with ODL and ASTRA

Contents

Installing and running the code

Contact