Search Results for "tomography"

jif3d is a framework for joint inversion of different types of geophysical data in 3D. It currently comprises forward solvers for first arrival traveltimes, scalar and tensor gravity data, magnetics, magnetotellurics, electrical resistivity tomography and surface waves.The framework is flexible in terms of the coupling approach between the different datasets. At the moment cross-gradient coupling, variation of information and deterministic parameter relationships are implemented. Other coupling approaches can be added relatively easily.

Diffraction contrast tomography code base, as developed by researchers from beamline ID19 of the ESRF, Grenoble, France, and Manchester University, UK.

PyTom is a toolbox developed for interpreting cryo electron tomography data. All steps from reconstruction, localization, alignment and classification are covered with standard and improved methods. Please sign up to our mailing list to keep up with the most recent updates and versions.

Client/Server based experiment and instrument control system

Copenhagen Computed Tomography Toolbox is a collection of applications and libraries for flexible and efficient CT reconstruction. The toolbox apps generally take a set of projections (X-ray intensity measurements) and filter and back project them in order to recreate the image or volume that the projections represent. The project includes both mostly informative CPU implementations and highly efficient GPU implementations.

Toast++ is a C++ software package for modelling light transport in scattering media using the finite element method. It allows 3D reconstruction of absorption and scattering distributions inside an object from boundary measurements of light transmission, using steady state, time domain or frequency domain information. Matlab and Python bindings exist for ease of use and fast prototyping.

This project, developed at UCL London, provides code for tomographic reconstruction. NiftyRec is written in C and has Python and Matlab extensions. Computationally intensive functions have a GPU accelerated version based on CUDA.

Hosted at google code, for latest version please go to: https://code.google.com/p/ctqa-cp/ Automatic image quality analysis of computed tomography images of the CatPhan? phantom. CTQA is a software package to aid in quality assurance of image quality for CT scanners. The software currently only supports analysis of CT-images of the CatPhan600? phantom. Other phantoms may be supported upon request. The purpose of CTQA-cp is twofold: 1) To handle and analyze image sets consisting of a few thousand images that is commonly obtained from image quality assurance protocols on CT scanners. 2) Easily provide results that can be copied to your favorite word or spreadsheet processor, or be saved to disk.