Lawrence Livermore National Laboratory | Standard CT data processing with LTT @LivermoreLab | Uploaded 4 years ago | Updated 2 hours ago
The Livermore Tomography Tools (LTT) software package offers a collection of algorithms for the processing of x-ray and neutron Computed Tomography data including standard Filtered Backprojection (FBP) reconstruction algorithms and state-of-the-art and novel iterative reconstruction, beam hardening correction, scatter correction, and simulation algorithms. The software is platform independent (Windows, Linux, and Mac) and is written entirely in C/C++ by staff at Lawrence Livermore National Lab. It utilizes OpenMP for multi-core CPU processing and OpenCL for processing data on one or more graphical processing units (GPUs) or other hardware accelerators. The algorithms in LTT are capable of processing CT data from raw detector counts to reconstructed volumes and are designed to provide quantitatively accurate results (with specified units) in a timely manner. Most conventional scanner geometries are supported, including parallel-, fan-, and cone-beam geometries. LTT also supports modern fixed gantry systems where the user provides the location of every source and detector pair and the detector orientation in a human-readable text file. The software can be run as a stand-alone application using script files, run through MATLAB or Python as a dynamic library, or through a PyQt-based GUI.
This video demonstrates how to reconstruct a CT dataset using the standard algorithm processing chain with the LTT GUI.
Interested in using or commercializing LTT? Contact Charity Follett and Kyle Champley at follett2@llnl.gov and champley1@llnl.gov. Licenses are available on request.
LLNL-VIDEO-812066
The Livermore Tomography Tools (LTT) software package offers a collection of algorithms for the processing of x-ray and neutron Computed Tomography data including standard Filtered Backprojection (FBP) reconstruction algorithms and state-of-the-art and novel iterative reconstruction, beam hardening correction, scatter correction, and simulation algorithms. The software is platform independent (Windows, Linux, and Mac) and is written entirely in C/C++ by staff at Lawrence Livermore National Lab. It utilizes OpenMP for multi-core CPU processing and OpenCL for processing data on one or more graphical processing units (GPUs) or other hardware accelerators. The algorithms in LTT are capable of processing CT data from raw detector counts to reconstructed volumes and are designed to provide quantitatively accurate results (with specified units) in a timely manner. Most conventional scanner geometries are supported, including parallel-, fan-, and cone-beam geometries. LTT also supports modern fixed gantry systems where the user provides the location of every source and detector pair and the detector orientation in a human-readable text file. The software can be run as a stand-alone application using script files, run through MATLAB or Python as a dynamic library, or through a PyQt-based GUI.
This video demonstrates how to reconstruct a CT dataset using the standard algorithm processing chain with the LTT GUI.
Interested in using or commercializing LTT? Contact Charity Follett and Kyle Champley at follett2@llnl.gov and champley1@llnl.gov. Licenses are available on request.
LLNL-VIDEO-812066
