August 23, 2021 Software Open Access

Kristian Bredies; Richard Huber

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5235563", 
  "title": "Gratopy 0.1", 
  "issued": {
    "date-parts": [
      [
        2021, 
        8, 
        23
      ]
    ]
  }, 
  "abstract": "<p>The gratopy (<strong>Gr</strong>az <strong>a</strong>ccelerated <strong>to</strong>mographic projections for <strong>Py</strong>thon) 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 <a href=\"https://epubs.siam.org/doi/abs/10.1137/20M1326635\">favorable approximation properties</a>. The toolbox offers a powerful parallel OpenCL/GPU implementation which admits high execution speed and allows for seamless integration into <a href=\"https://documen.tician.de/pyopencl/\">PyOpenCL</a>. 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.</p>\n\n<p><strong>Highlights</strong></p>\n\n<ul>\n\t<li>Easy-to-use tomographic projection toolbox.</li>\n\t<li>High-quality 2D projection operators.</li>\n\t<li>Fast projection due to custom OpenCL/GPU implementation.</li>\n\t<li>Seamless integration into PyOpenCL.</li>\n\t<li>Basic iterative reconstruction schemes included (Landweber, CG, total variation).</li>\n\t<li>Comprehensive documentation, tests and example code.</li>\n</ul>", 
  "author": [
    {
      "family": "Kristian Bredies"
    }, 
    {
      "family": "Richard Huber"
    }
  ], 
  "version": "v0.1.0", 
  "type": "article", 
  "id": "5235563"
}