Tractography software tools | Diffusion magnetic resonance imaging analysis
Tractography (or fiber tracking) consists of three-dimensional modeling of the preferential movement of water molecules in the form of fiber tracks from the tensor field information. This technique allows a new approach for the microarchitectural analysis of anisotropic structures such as nerves, white matter, and muscles. Many disorders have been studied including cervical myelopathy, carpal tunnel syndrome, nerve root compression, and nerve tumors.
Quantifies the density of underlying white matter fibers. SIFT performs fiber orientation distribution (FOD) segmentation, and assigns streamlines to the FOD lobes they traverse, based on both the voxels they pass through and their tangent through each voxel. It combines the quantitative properties that can be assigned to a whole-brain reconstruction to sample the structural connections emanating from a region or regions of interest.
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 interaction and displaying of diffusion imaging data. MITK-DI furnishes target operating systems, stability, extendibility and data format compatibility. It supports cutting edge diffusion imaging techniques. This tool includes the global tractography, interactive intra-voxel incoherent motion (IVIM), interactive firefly algorithm (FA) clustering, and tract-based spatial statistics (TBSS) results exploration.
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