Allows diffusion of imaging research in a clinical oncology setting and provides tools for end-to-end diffusion image analysis as well as interoperation with clinical imaging systems. SlicerDMRI is a suite of open-source software tools for diffusion magnetic resonance imaging (dMRI) research. The software is built upon and integrated with 3D Slicer, an NIH-supported open-source platform for medical image computing. SlicerDMRI is used for both neuroscience research and cancer imaging research.
Allows to study diffusion Magnetic Resonance Imaging (MRI) data. Dipy is a program allowing users to share their code and experiments. One of its objectives is to provide transparent implementations for all the different steps of the dMRI analysis with a uniform programming interface. It implements two interfaces for probabilistic Markov fiber tracking: (1) it allows the user to provide the distribution evaluated on a discrete set of possible tracking directions, and (2) it accommodates tracking methods where the fiber orientation distribution function (fODF) cannot be easily computed.
Allows (pre-)processing and visualization of diffusion magnetic resonance imaging (dMRI) data. Braintome DiffusionKit includes all of the required steps from the original DICOM images to brain anatomical network construction and user-friendly operation and visualization. The software includes data format conversion, preprocessing, local modeling and reconstruction, fiber tracking, and fiber statistics.
Allows users to visualize and quantify analysis of Diffusion Tensor Imaging (DTI). SATURN aids researchers to find statistical differences between control and patient DTI data groups, using standard and advanced measures over regions of interest (ROIs), and over fiber bundles. Moreover, it can be used for the exploration of fiber tracts and study them in different ways.
Serves for diffusion magnetic resonance imaging (MRI) processing. Camino contains several techniques such as probabilistic tractography, deterministic, diffusion tensor fitting or mapping fractional anisotropy. It enables of processing pipelines thanks to its modular design. It implements a data processing pipeline allowing easy scripting and flexible integration with other software.
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