Hosts heterogeneous tools dedicated to neuroimaging research. BrainVISA aims to help researchers in developing new neuroimaging tools, sharing data and distributing software. It offers a way to define viewers which may use any visualization software. Thanks to its data management functions, the tool can define the data types handled by the software, associate key attributes for indexation, and filename patterns to make the link between the filesystem and the database schema.
Provides a common visualization and storage platform, which can be used for visualization of data from any source, provided that an import filter exists for this format. This platform can be extended by various software packages, individually designed for analysis of specific data sets. Visualization is based on multi-planar reconstruction allowing extraction of arbitrary slices from a 3D-volume.
Assists users in quantifying positron emission tomography (PET) studies of the heart. Carimas allows researchers to visualize, process and model the cardiac PET studies. With this tool, the process of an image analysis takes several sequential steps: (1) volume view; (2) reorientation; and (3) ROI definition step. It can detect two types of format, ECAT and digital imaging and communications in medicine (DICOM).
Serves for visualizing electron tomography data. Tomviz can utilize the large quantities of memory and processing resources required to render, manipulate, and analyze voluminous 3D tomograms. It provides a graphical user interface (GUI) where objects can be rendered as shaded contours or volumetric projections. This tool also offers a set of functions such as multiple datasets, colormaps, and other visualization settings.
Assists in calculating regularized solutions to discretization of inverse problems. AIR Tools aims to provide easy-to-use implementations of the most important algebraic iterative reconstruction (AIR) methods. Each method is equipped with several stopping rules as well as heuristics for choosing the relaxation parameter. It is written for numerical analysts and application specialists who want to experiment with the iterative methods and their convergence properties.
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