10.5281/zenodo.5235563
https://zenodo.org/records/5235563
oai:zenodo.org:5235563
Kristian Bredies
Kristian Bredies
0000-0001-7140-043X
University of Graz
Richard Huber
Richard Huber
0000-0003-1743-6786
University of Graz
Gratopy 0.1
Zenodo
2021
Radon transform
fanbeam transform
pixel-driven projection methods
computed tomography
image reconstruction
2021-08-23
https://github.com/kbredies/gratopy/tree/v0.1.0
10.5281/zenodo.5221442
v0.1.0
The gratopy (Graz accelerated tomographic projections for Python) toolbox is a Python3 software package for the efficient and high-quality computation of Radon transforms, fanbeam transforms as well as the associated backprojections. The included operators are based on pixel-driven projection methods which were shown to possess favorable approximation properties. The toolbox offers a powerful parallel OpenCL/GPU implementation which admits high execution speed and allows for seamless integration into PyOpenCL. Gratopy can efficiently be combined with other PyOpenCL code and is well-suited for the development of iterative tomographic reconstruction approaches, in particular, for those involving optimization algorithms.
Highlights
Easy-to-use tomographic projection toolbox.
High-quality 2D projection operators.
Fast projection due to custom OpenCL/GPU implementation.
Seamless integration into PyOpenCL.
Basic iterative reconstruction schemes included (Landweber, CG, total variation).
Comprehensive documentation, tests and example code.
FWF Austrian Science Fund
10.13039/501100002428
P 29192
Regularization Graphs for Variational Imaging
FWF Austrian Science Fund
10.13039/501100002428
W 1244
Partial Differential Equations - Modelling, Analysis, Numerical Methods and Optimization