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http://nipy.org

Community site to make brain imaging research easier that aims to build software that is clearly written, clearly explained, a good fit for the underlying ideas, and a natural home for collaboration.

Proper citation: Neuroimaging in Python (RRID:SCR_013141) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/meanmachine/

This software can be used to analyze EEG data either using a graphical interface (GUI) or using Matlab scripts, which make use of the functions provided by the MeanMachine. As compared to other libraries, MeanMachine can handle even very large data sets like, for example, 256 channels recorded at 2KHz.

Proper citation: Mean Machine (RRID:SCR_013103) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/liversegm/

A set of tools for the processing of liver images. These tools consist of a level set based variational approach that incorporates shape priors and appearance models. It uses ITK-SNAP 1.4 as interface. The tools are capable of automatic liver segmentation and semi-automatic injury segmentation.

Proper citation: LiverSegm (RRID:SCR_013108) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/iterdrwsp/

Software which aims to better estimate the neuronal activation of an individual using the results of an independent component analysis (ICA) method applied to a temporally concatenated group of functional magnetic resonance imaging (fMRI) data (i.e., Tc-GICA method). This approach employs iterative LS solutions to refine both the individual SPs and TCs with an additional a priori assumption of sparseness in the SPs (i.e., minimally overlapping SPs) based on L(1)-norm minimization.

Proper citation: Iterative dual-regression with sparse prior (RRID:SCR_014128) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/lwdp/

A lightweight framework for setting up dependency-driven processing pipelines. The tool is essentially a configurable shell script (sh/bash), which can be included in other scripts and primarily provides a small number of utility functions for dependency checking and NFS-safe file locking for cluster processing.

Proper citation: Lightweight Data Pipeline (RRID:SCR_014135) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/cmind_py_2014/

A python toolbox for analysis of MRI images. It relies on calls to a number of widely tested algorithms from the FMRIB software library (FSL) and the advanced normalization tools (ANTS) to provide analysis of simultaneously acquired ASL/BOLD fMRI data. It was developed for analyzing the datasets collected as part of the Cincinnati MR Imaging of NeuroDevelopment (C-MIND) project.

Proper citation: CMIND PY (RRID:SCR_014097) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/bvqxtools

A Matlab-based toolbox initially created for reading, writing, and processing of BrainVoyager (QX) files in Matlab.

Proper citation: NeuroElf (RRID:SCR_014147) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/exposition/

An R package for descriptive (i.e., fixed-effects) multivariate analysis with singular value decomposition.

Proper citation: ExPosition Packages (RRID:SCR_014107) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/genr/

An MRI resource which provides age-appropriate images of children. It includes an average, age-appropriate T1-weighted image, constructed from 130 typically developing children ages 6-to-10 and a set of 32 resting-state ICA components. These components were generated from 494 typically developing children, ages 6-to-10 years old, using the MELODIC ICA tool, bootstrapped with 1000 resamples. Both of these resources are described in detail in a manuscript submitted for publication.

Proper citation: Generation R Pediatric MRI Resources (RRID:SCR_014114) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/image_synthesis/

A collection of software tools developed for medical image synthesis of typically magnetic resonance (MR) brain images. The approaches have been used to create computed tomography (CT) images from MR input. The goal of image synthesis is to recover MR images with a desired optimal contrast for further processing by either registration or segmentation.

Proper citation: Image Synthesis Tools (RRID:SCR_014123) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/hdbig/

A collection of software tools for high dimensional brain imaging genomics. These tools are designed to perform comprehensive joint analysis of heterogeneous imaging genomics data. HDBIG-SR is an HDBIG toolkit for sparse regression while HDBIG-SCCA is an HDBIG toolkit for sparse association.

Proper citation: HDBIG (RRID:SCR_014120) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/aperture/

A MATLAB-based toolbox for analysis of EEG, MEG, and ECoG data. APERTURE allows flexible multivariate analysis of ERPs and oscillatory activity and supports mass-univariate analysis with advanced statistical tests. Computations are accelerated using parallel computing supported through the MATLAB distributed computing toolbox. Examination of large, high-dimensional datasets is made simple through data visualization tools, including advanced plotting routines and generation of PDF reports with many figures.

Proper citation: APERTURE (RRID:SCR_014082) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/cta_toolbox

A Matlab tool to perform statistical analysis on cortical thickness signals on brain surfaces obtained from Freesurfer. It is used for multi-resolutional analysis of such cortical thickness signals and detecting group differences. It is based on the Spectral Graph Wavelet Transform (SGWT) toolbox and provides plug and play methods for deriving Wavelet Multiscale Descriptor (WMD), cortical thickness smoothing using SGWT, Multivariate General Linear Model (MGLM), and False Discovery Rate (FDR).

Proper citation: Wisconsin Cortical Thickness Analysis (CTA) Toolbox (RRID:SCR_014180) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/bratumia

Segmentation software for multimodal image analysis of brain tumor studies. It performs volumetric segmentation of healthy and tumor tissues by employing multispectral MRI sequences. Segmented tissues include Gray Matter, White Matter, Cerebrospinal Fluid, necrotic core, edema, non-enhancing tumor and enhancing tumor.

Proper citation: BraTumIA (Brain Tumor Image Analysis) (RRID:SCR_014184) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/openvibe

A multi-platform software dedicated to designing, testing and using brain-computer interfaces (BCI). OpenViBE is a software for real-time neurosciences that can be used to acquire, filter, process, classify and visualize brain signals in real time.

Proper citation: OpenViBE (RRID:SCR_014156) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/nusdast

A repository of schizophrenia neuroimaging data collected from over 450 individuals with schizophrenia, healthy controls and their respective siblings, most with 2-year longitudinal follow-up. The data include neuroimaging data, cognitive data, clinical data, and genetic data.

Proper citation: Northwestern University Schizophrenia Data and Software Tool (NUSDAST) (RRID:SCR_014153) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/openwalnut/

Open source tool for multi-modal medical and brain data visualization. It is a tool for the scientific user and a powerful framework for the visualization researcher. It is written in Standard C++ and uses a number of portable libraries (e.g. Qt, Boost and OpenSceneGraph). It runs on common GNU/Linux operating systems, Mac OSX and Windows.

Proper citation: OpenWalnut (RRID:SCR_014157) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/csa-odf

A Matlab toolbox that computes the Q-Ball Imaging Orientation Distribution Function in Constant Solid Angle (CSA-ODF) for diffusion-weighted MRI.

Proper citation: Orientation Distribution Function in Constant Solid Angle (CSA-ODF) (RRID:SCR_014158) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/ruby-nifti/

A library for handling NIfTI data in the Ruby programming language. Ruby NIfTI supports basic read and write access to NIfTI files, including basic and extended header information and image information. It doesn't attempt to touch the image data but it does provide access to qform and sform orientation matrices. It also provides a nice interface to get at NIfTI info from within Ruby.

Proper citation: Ruby NIfTI (RRID:SCR_014164) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/score/

A collection of methods for comparing the performance of different image algorithms. These methods generate quantitative scores that measure divergences to a standard.

Proper citation: SCORE (RRID:SCR_014165) Copy   

•   Source: SciCrunch Registry