Tomosipo: Fast, Flexible, and Convenient 3D Tomography for Complex Scanning Geometries in Python

Allard A. Hendriksen, Dirk Schut, Willem Jan Palenstijn, Nicola Viganó, Jisoo Kim, Daniël M. Pelt, Tristan van Leeuwen, and K. Joost Batenburg

Published in Optics Express on 19 November 2021.

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Summary

Tomography is a powerful tool for reconstructing the interior of an object from a series of projection images. Typically, the source and detector traverse a standard path (e.g., circular, helical). Recently, various techniques have emerged that use more complex acquisition geometries. Current software packages require significant handwork, or lack the flexibility to handle such geometries. Therefore, software is needed that can concisely represent, visualize, and compute reconstructions of complex acquisition geometries. We present tomosipo, a Python package that provides these capabilities in a concise and intuitive way. Case studies demonstrate the power and flexibility of tomosipo.

Citation

For more details and additional results, read the full paper.

  @Article{hendriksen-2021-tomos,
  author          = {Hendriksen, Allard and Schut, Dirk and Palenstijn, Willem
                  Jan and Viganò, Nicola and Kim, Jisoo and Pelt, Danië}l and
                  van Leeuwen, Tristan and Batenburg, K. Joost},
  title           = {Tomosipo: Fast, Flexible, and Convenient {3D} Tomography
                  for Complex Scanning Geometries in {Python}},
  journal         = {Optics Express},
  year            = 2021,
  doi             = {10.1364/oe.439909},
  url             = {https://doi.org/10.1364/oe.439909},
  issn            = {1094-4087},
  month           = {Oct},
  publisher       = {The Optical Society},
}