Model-Based Iterative Reconstruction
Charles Bouman's web page
S. Venkat Venkatakrishnan's web page

OpenMBIR is an open source project that develops model-based imaging algorithms for various applications. Model-based approaches to imaging combine the physics of data formation, the noise characteristics of the sensors and a probabilistic model for the object to formulate the image reconstruction problem. In several applications MBIR translates to minimizing a very high-dimensional cost-function which requires efficient algorithms. In this page we have software for MBIR with a focus on micro and nano-scale imaging.


TIMBIR X-ray Time Interlaced Model-Based Iterative Reconstruction (TIMBIR). A command line tool for 3D and 4D Synchrotron X-ray micro-tomography reconstruction which also corrects for ring and streak artifacts. Code can run on a compute cluster.

TEMBIR-HAADF Tomography Environment for MBIR (TEMBIR) GUI and command line tool for HAADF-STEM tomography. This can handle the missing wedge, low-SNR and missing calibration parameters associated with the HAADF measurement.

TEMBIR-BF Tomography Environment for MBIR (TEMBIR) GUI and command line tool for BF-(S)TEM tomography that can account for Bragg scatter. This can also be very useful for low-dose tomography.

Related Publications

paper S. V. Venkatakrishnan, et al. ``Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible,'' Electronic Imaging, Computational Imaging XIV, pp. 1-7(7), 2016.

link Bouman's tomography publications.

Acknowledgement of Support

Air-Force Research Laboratory, UES Inc., Air-Force Office of Scientific Research