MBIRTorch: High-performance tomographic reconstruction#
MBIRTorch is a Python package for Model Based Iterative Reconstruction (MBIR) of images from tomographic data.
Key features:
Vectorized Coordinate Descent algorithm for fast, robust convergence [A1].
Automatic parameter selection, with fine-tuning using intuitive meta-parameters.
Support for Plug-and-Play prior models that can dramatically improve image quality [A5] [A4].
Modular, extensible, easy-to-use, object-oriented Python interface.
Fast, portable, seamless use on CPUs or GPUs through the use of PyTorch.
Simple API
Reconstructions can be performed in just a few lines of python code.
Fast, robust convergence
Vectorized Coordinate Descent produces high-quality images quickly.
Portability
Based on PyTorch, MBIRTorch can easily run on CPU or GPU.
Getting Started
User Guides
Developer Docs