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svmbir (super-voxel model-based iterative reconstruction) is an easy-to-use python package for fast iterative reconstruction of tomography data using model-based priors. The svmbir package is a python interface to HPImaging’s optimized C implementation [sv-mbirct] of the super-voxel algorithm [A3] [A4].

Features

  • Supports MBIR reconstruction with Bayesian and Plug-and-Play prior models

  • Supports parallel-beam and fan-beam geometries

System Requirements

  1. GCC compiler version 4.8.5 or above

  2. OpenMP Libraries

  3. Python>=3.6

Optional System Requirements

Fastest reconstruction can be obtained with,

  • Intel-based CPU(s) supporting AVX2,AVX512

  • Intel ICC compiler (included with Intel’s free “oneAPI” toolkit)

We also recommend:

  • Installation to a conda virtual environment

License

The project is licensed under the BSD 3-Clause License.

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