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http://www.fmrib.ox.ac.uk/fsl/
Software library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. Include registration, atlases, diffusion MRI tools for parameter reconstruction and probabilistic taractography, and viewer. Several brain atlases, integrated into FSLView and Featquery, allow viewing of structural and cytoarchitectonic standard space labels and probability maps for cortical and subcortical structures and white matter tracts. Includes Harvard-Oxford cortical and subcortical structural atlases, Julich histological atlas, JHU DTI-based white-matter atlases, Oxford thalamic connectivity atlas, Talairach atlas, MNI structural atlas, and Cerebellum atlas.
Proper citation: FSL (RRID:SCR_002823) Copy
Collegiate research university in Oxford, England. Teaching as early as 1096, making it the oldest university in English speaking world and world second oldest university in continuous operation.
Proper citation: University of Oxford; Oxford; United Kingdom (RRID:SCR_006361) Copy
Consortium to comprehensively map long-distance brain connections and their variability. It is acquiring data and developing analysis pipelines for several modalities of neuroimaging data plus behavioral and genetic data from healthy adults.
Proper citation: Human Connectome Coordination Facility (RRID:SCR_008749) Copy
Project to define a roadmap for diffusion MR imaging of traumatic brain imaging and design an infrastructure to implement the recommendations and tested to ensure feasibility, disseminate results, and facilitate deployment and adoption. The research roadmap and infrastructure development will concentrate on three areas: 1) standardization of diffusion imaging methodology, 2) trial design and patient selection for acute or chronic therapy, and 3) development of multi-center collaborations and repositories for evaluating whether advanced diffusion imaging does improve decision making and TBI patients' outcomes. # DTI MRI reproducability: One of the major areas of investigation in this project is to study the reproducibility of data acquisition and image analysis algorithms. Understanding reproducibility defines a base level of deviation from which scans can be analyzed with statistical significance. As part of this work they are also developing site qualification criteria with the intention of setting limits on the MR system minimal performance for acceptable use in TBI evaluation. # Infrastructure for image storage, analysis and visualization: There is a continuing need to refine and extend software methods for diffusion MRI data analysis and visualization. Not only to translate tools into clinical practice, but also to encourage continuation of the innovation and development of new tools and techniques. To deliver upon these goals they are designing and implementing a storage and computational infrastructure to provide access to shared datasets and intuitive interfaces for analysis and visualization through a variety of tools. A strong emphasis has been placed on providing secure data sharing and the ability to add community defined common data elements. The infrastructure is built upon a Software-as-a-Service model, in which tools are hosted and managed remotely allowing users access through well-defined interfaces. The final service will also facilitate composition or orchestration of workflows composed of different analysis and processing tasks (for example using LONI or XNAT pipelines) with the ultimate goal of providing automated no-click evaluations of diffusion MRI data. # Tool development: The final aspect of this project aims to facilitate and encourage tool development and contribution. By providing access to open datasets, they will create a platform on which tool developers can compare and improve and their tools. When tools are sufficiently mature they can be exposed in the infrastructure mentioned above and used by researchers and other developers.
Proper citation: Diffusion MRI of Traumatic Brain Injury (RRID:SCR_001637) Copy
http://www.nitrc.org/projects/fsl_extensions/
A reference for modifications, extensions, and utilities for the FMRIB Software Library (FSL).
Proper citation: FSL extensions (RRID:SCR_009472) Copy
http://www.nitrc.org/projects/bash-rs-fcmri
THIS RESOURCE IS NO LONGER IN SERVICE, documented July 23, 2015. Of note: most functions have been integrated in 1000 Functional Connectomes Project (www.nitrc.org/projects/fcon_1000). This package is not updated, thus please visit 1000 Functional Connectomes Project site and download relevant bash scripts. BASH Scripts for a resting-state functional MRI study. The functions include seed-based correlation analysis, amplitude analysis and independent component analysis. Note: this tool is just a plug-in for FSL, AFNI and FreeSurfer. Thus, you need have them before you use BASH4RfMRI.
Proper citation: BASH4RfMRI (RRID:SCR_005970) Copy
http://www.nitrc.org/projects/dwiregistration/
This code registers linearly and non-linearly Diffusion Weighted Magnetic Resonance Images (DW-MRIs) by extending FLIRT (linear registration of 3D scalar volumes) and FNIRT (non-linear registration of 3D scalar volumes) in the FMRIB Software Library (FSL) to work with 4D volumes. The basis for registering DW-MRIs is the concept of Angular Interpolation (Tao, X., Miller, J. V., 2006. A method forregistering diffusion weighted magnetic resonance images. In: MICCAI. Vol. 9. pp. 594?602), which is implemented and extended to non-linear registration, based on the FLIRT and FNIRT models in FSL. See http://www.frontiersin.org/Brain_Imaging_Methods/10.3389/fnins.2013.00041/abstract. The code does not overwrite FLIRT, FNIRT or any of the FSL C++ code. It is added as FLIRT4D, FNIRT4D and supporting cost functions. The makefiles will however be overwritten to compile the new code, without affecting any version of FSL.
Proper citation: DW-MRI registration in FSL (RRID:SCR_009461) Copy
http://www.nitrc.org/projects/mica/
Software toolbox based on FSL command line tools that performs masked independent component analysis and related analyses in an integrated way within a spatially restricted subregion of the brain. Used for investigating functional connectivity in functional magnetic resonance imaging data in the field of neuroimaging.
Proper citation: masked ICA (mICA) Toolbox (RRID:SCR_016349) Copy
http://www.kcl.ac.uk/iop/depts/neuroimaging/research/imaginganalysis/Software/rBET.aspx
A modified version of the Brain Extraction Tool (BET) that can process rodent brains.
Proper citation: Rodent Brain Extraction Tool (RRID:SCR_002538) Copy
http://freesurfer.net/fswiki/HippocampalSubfieldSegmentation
A software package for automatic segmentation of hippocampal subfields in magnetic resonance imges. Given a pair of T1-weighted and T2-weighted images (the latter acquired using a protocol tuned for hippocampus imaging), ASHS will automatically label main subfields of the hippocampus, and some extra-hippocampal structures, using multi-atlas segmentation. The main method is described in the Yushkevich et al. 2011 Neuroimage paper (http://tinyurl.com/cffrp3p). * execution requires: Advanced Normalization Tools, FSL
Proper citation: Segmentation of Hippocampus Subfields (RRID:SCR_005996) Copy
Debian is Linux distribution composed of free and open source software, developed by community supported Debian Project, which was established by Ian Murdock on August 16, 1993.Debian comes with over 59000 packages (precompiled software that is bundled up in nice format for easy installation on your machine), package manager (APT), and other utilities that make it possible to manage thousands of packages on thousands of computers as easily as installing single application.
Proper citation: Debian (RRID:SCR_006638) Copy
Collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as a means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication.
Proper citation: Neuroimaging Data Model (RRID:SCR_013667) Copy
http://www.nitrc.org/projects/friend
A GUI-based software for real-time fMRI processing, multivoxel pattern decoding and neurofeedback. The package integrates routines for image preprocessing in real-time, ROI-based feedback and brain decoding-based feedback using the FSL and libSVM libraries. Users can create or employ pre-specified visual stimuli for neurofeedback experiments. FRIEND can be used as Windows standalone software or as a multiplatform toolbox (called FRIEND Engine).
Proper citation: Functional Real-time Interactive Endogenous Neuromodulation and Decoding (FRIEND) (RRID:SCR_014186) Copy
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/PALM
Software tool for inference using permutation methods. Requires Matlab or Octave. Can be executed from inside either environment, or directly from the shell and can be called from scripts. For users who are familiar with statistics and willing to use experimental analysis tools.
Proper citation: PALM (RRID:SCR_017029) Copy
Software repository for comparing structural (MRI) and functional neuroimaging (fMRI, PET, EEG, MEG) software tools and resources. NITRC collects and points to standardized information about structural or functional neuroimaging tool or resource.
Proper citation: NeuroImaging Tools and Resources Collaboratory (NITRC) (RRID:SCR_003430) Copy
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FDR
Software program which takes in p-value image and uses False Discovery Rate theory to carry out multiple comparison correction.
Proper citation: FDR (RRID:SCR_024939) Copy
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/topup
Software tool for estimating and correcting susceptibility induced distortions.
Proper citation: topup (RRID:SCR_024935) Copy
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/BET
Software tool which deletes non-brain tissue from image of the whole head and estimates both internal and external skull surfaces.
Proper citation: Brain Extraction Tool (RRID:SCR_014586) Copy
http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Atlases
Probabilistic atlases covering 48 cortical and 21 subcortical structural areas, derived from structural data and segmentations kindly provided by the Harvard Center for Morphometric Analysis. T1-weighted images of 21 healthy male and 16 healthy female subjects (ages 18-50) were individually segmented by the CMA using semi-automated tools developed in-house. The T1-weighted images were affine-registered to MNI152 space using FLIRT (FSL), and the transforms then applied to the individual labels. Finally, these were combined across subjects to form population probability maps for each label. Segmentations used to create these atlases were provided by: David Kennedy and Christian Haselgrove, Centre for Morphometric Analysis, Harvard; Bruce Fischl, the Martinos Center for Biomedical Imaging, MGH; Janis Breeze and Jean Frazier from the Child and Adolescent Neuropsychiatric Research Program, Cambridge Health Alliance; Larry Seidman and Jill Goldstein from the Department of Psychiatry of Harvard Medical School.
Proper citation: Harvard - Oxford Cortical Structural Atlas (RRID:SCR_001476) Copy
http://www.nitrc.org/projects/xfsl/
A set of many useful automation scripts to facilitate the neuroimaging data analysis process. It contains BASH scripts for MRI data management, FSL automation and web application.
Proper citation: XFSL: An FSL toolbox (RRID:SCR_014181) Copy
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