Credits

Credits#

MBIRJAX Development Team

The MBIR Development Team is listed below in alphabetical order:

Charles A. Bouman, Gregery T. Buzzard.

MBIRJAX Sponsors

We would like to thank the following sponsors for their financial support in the development of both this python package:

  • Eli Lilly Company

  • Oak Ridge National Laboratory

  • The Showalter Trust

Citation

Please use the following Bibtex citation when referencing this software.

@Misc {mbirjax-2024,
author = {Charles A. Bouman and Gregery T. Buzzard},
title =     {{MBIRJAX}: {H}igh-performance tomographic reconstruction},
howpublished = {Software library available from \url{https://github.com/cabouman/mbirjax}},
year = 2024
}

References

[A1]

Charles A Bouman and Gregery T Buzzard. Vectorized coordinate descent for fast CT reconstruction. In 2024 CVPR Workshop: Computer Vision for Science. Seattle, WA, June 17 2024. URL: https://engineering.purdue.edu/~bouman/publications/pdf/2024-CVPR-poster.pdf.

[A2]

Suhas Sreehari, S Venkat Venkatakrishnan, Brendt Wohlberg, Gregery T Buzzard, Lawrence F Drummy, Jeffrey P Simmons, and Charles A Bouman. Plug-and-play priors for bright field electron tomography and sparse interpolation. IEEE Transactions on Computational Imaging, 2(4):408–423, 2016. doi:10.1109/TCI.2016.2599778.

[A3]

Singanallur V Venkatakrishnan, Charles A Bouman, and Brendt Wohlberg. Plug-and-play priors for model based reconstruction. In 2013 IEEE Global Conference on Signal and Information Processing, 945–948. IEEE, 2013. doi:10.1109/GlobalSIP.2013.6737048.