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Gratopy 0.1

Kristian Bredies; Richard Huber

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  "description": "<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=\"\">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=\"\">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>", 
  "license": "", 
  "creator": [
      "affiliation": "University of Graz", 
      "@id": "", 
      "@type": "Person", 
      "name": "Kristian Bredies"
      "affiliation": "University of Graz", 
      "@id": "", 
      "@type": "Person", 
      "name": "Richard Huber"
  "url": "", 
  "codeRepository": "", 
  "datePublished": "2021-08-23", 
  "version": "v0.1.0", 
  "keywords": [
    "Radon transform", 
    "fanbeam transform", 
    "pixel-driven projection methods", 
    "computed tomography", 
    "image reconstruction"
  "@context": "", 
  "identifier": "", 
  "@id": "", 
  "@type": "SoftwareSourceCode", 
  "name": "Gratopy 0.1"
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