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.
Provides a platform for diffusion-weighted magnetic resonance imaging (dMRI) and tractography data visualization. FiberWeb allows users to display virtual dissection, streamlines and volumes in real time, in a wide range of imaging formats. The tool also permits to interact with data by performing real-time deterministic and probabilistic tractography (RTT). It is suited to support large datasets.
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.
Allows image processing, analysis and visualization. MRtrix3 can determine fibre orientation distributions using constrained spherical deconvolution. It serves for fixel-based analysis of apparent fibre density and fibre cross-section, quantitative structural connectivity study and non-linear spatial registration of fibre orientation distribution images using a probabilisitic streamlines algorithm.
Allows users to display medical research image viewer. Papaya is a program that assists researchers to explore and study different parts of human brain. It supports overlays, atlases, or diffusion tensor imaging (DTI) data. Its users interface is configurable with many display, menu and control options and can be run on a web server or as a local, shareable file.
Analyzes white matter morphometry using diffusion tensor imaging (DTI) data. DTI-TK is standalone software that permits users to register, examine and visualize DTI images. This software can build atlas, permits spatial normalization and can be employed as a construction toolkit. It performs a state-of-the-art registration algorithm with the aim of ameliorating the power of statistical inference in clinicals settings.
Enables visualization and analysis of fiber track data from diffusion magnetic resonance (MR) imaging (DTI/DSI/HARDI/Q-Ball) tractography. TrackVis includes several features such as real-time parameter adjustment and 3D render, integration of customized scalar data into the track file, as well as visualization and analysis, or statistical scalar analysis of tracks and regions of interest (ROIs).
A “profilometry” framework for the multimetric analysis of white matter tracts. Mrpipe is a statistical framework that combine a multivariate analysis of covariance (MANCOVA) and a linear discriminant analysis (LDA) both accounting for age and gender, with multiple comparison corrections. This methodology can not only combine tract profile analyses in a single statistical model but can also take into account covariates such as age and gender which are of particular importance in most clinical investigations. This project is still a skeleton, the tool is not ready for use.
0 - 0 of 0