Allows users to work about magnetic resonance imaging (MRI) brain imaging data. FSL can realize functional magnetic resonance imaging (FMRI) analysis (brain extraction, smoothing, statistics, registration). This tool can analyze a wide range of MR modalities (task FMRI, resting FMRI, ASL, diffusion, structure), and can be easily scripted and run over computing clusters.
Allows the analysis and visualization of structural and functional neuroimaging data from cross-sectional or longitudinal studies. FreeSurfer proposes a suite of tools that provide extensive and automated analysis of key features in the human brain. This includes for instance skull stripping, image registration, subcortical segmentation, cortical surface reconstruction, cortical segmentation, cortical thickness estimation, longitudinal processing, fMRI analysis or tractography.
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.
Processes multiple different analysis on magnetic resonance imaging (MRI) data such as functional MRI and diffusion MRI. VISTASOFT contains several modules that allows users to: align functional and anatomical data, display MR data on rendered 3D surface representations of the brain, handle anatomical MRI data, analyze functional MRI data or provide a list of scripts.
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.
A MATLAB toolbox for a comprehensive pipeline processing of dMRI dataset, aiming to facilitate image processing for the across-subject analysis of diffusion metrics and brain network constructions. Of note, the processing pipelines in this toolbox have been completely set up, allowing the end-users of dMRI to process the data immediately. After the user sets the input/output and processing parameters through the friendly graphical user interface (GUI), PANDA fully automates all processing steps for datasets of any number of subjects, and results in data pertaining to many diffusion metrics that are ready for statistical analysis at three levels (Voxel-level, ROI-level, and TBSS-level). Additionally, anatomical brain networks can be automatically generated using either deterministic or probabilistic tractography techniques. Particularly, PANDA can run processing jobs in parallel with multiple cores either in a single computer or within a distributed computing environment using a Sun Grid Engine (SGE) system, thus allowing for maximum usage of the available computing resources.