Provides a Platform-independent Object-Oriented framework for all data manipulations in tomographic imaging. STIR can be used to study existing and/or new reconstruction algorithms for a wide variety of cylindrical scanners. It enables the research community to study the performance of several algorithms on Single Photon Emission Computed Tomography (SPECT) data, and potentially implement new algorithms by expanding the existing framework. The tool offers the prospect to compare different Positron Emission Tomography (PET) scanners using identical correction and reconstruction software.
Provides a method for high-resolution 3D imaging from a limited number of 2D projections. GENFIRE first pads zeros to each 2D projection and calculates its oversampled Fourier slice. It then iterates between real and reciprocal space and enforces constraints in each space. After several hundred iterations, it converges to a structure that is concurrently consistent with the measured data and the physical constraints.
A software suite for image reconstruction in diffuse optical tomography. Toast++ contains a forward solver module using the finite element method for simulating the propagation of light in highly scattering, inhomogeneous biological tissues, such as the brain. The inverse solver module uses an iterative, model-based approach to reconstruct the unknown distributions of absorption and scattering coefficients in the volume of interest from boundary measurements of light transmission.
Allows image reconstruction in electrical impedance tomography (EIT) and diffuse optical tomography. EIDORS is a suite that also allows sharing of data between collaborators. It can be useful in medical and industrial field. This tool aims to promote the sharing of data and collaboration between researchers.
Provides GPU-accelerated reconstruction tools for emission and transmission computed tomography. NiftyRec manages multiple methods such as Synchrotron X-Ray Tomography and Single Photon Emission Computed Tomography (SPECT). The software performs a highly optimization of back-projection and core iterative reconstruction routines. This tool can also serves for developing reconstruction algorithms by using the Matlab and Python interfaces.
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