Welcome to gratopy’s documentation!

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.

The fanbeam projection of a walnut and gratopy’s Landweber and total variation reconstructions (from left to right).

Contents:

• Installation
  • Installation in Python
  • Testing correct installation
  • Requirements
• Getting started
  • Basic principles of gratopy
  • First example: Radon transform
  • Second example: Fanbeam transform
• Test examples
  • Radon transform
  • Fanbeam transform
• Function reference
  • Definition of geometry
  • Transforms
  • Solvers
  • Data generation
  • Internal functions
• Acknowledgements
  • Authors, publications and funding
  • Used data sets and code
  • License

Indices and tables

• Index

• Module Index

• Search Page