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.
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.
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.
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.
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.
Bouman's tomography publications.
Acknowledgement of Support
Air-Force Research Laboratory, UES Inc., Air-Force Office of Scientific Research