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

Support and community integration for the enhanced NITRC services of the Image Repository (IR) and the Computational Environment (CE). The NITRC Computational Environment, an on-demand, cloud based computational virtual machine pre-installed with popular NITRC neuroimaging tools built using NeuroDebian. NITRC Image Repository is built upon XNAT and supports both NIfTI and DICOM images. The NITRC-IR offers 3,733 Subjects, and 3,743 Imaging Sessions searchable across seven projects to promote re-use and integration of valuable NIH-funded data.

Proper citation: NITRC Enhanced Services (RRID:SCR_002494) Copy   

•   Source: SciCrunch Registry

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

Open-source utilities that are C++ based command line applications that allow image analysis and processing using ITK or VTK libraries. Specifically the following utilities are contained thus far: * ImageMath - the swiss army knife image modification * ImageStat - compute stats on images * IntensityRescaler - rescale/normalize intensities using a prior brain tissue segmentation * convertITKformats - convert 3D images in all ITK formats (NRRD, NIFTI, GIPL, Meta etc) * DWI_NiftiNrrdConversion - convert DWI and DTI from/to NRRD and NIFTI, works with UNC DTI tools and FSL * CropTools - crops 3D and 4D images * PolydataMerge - Merges VTK polydata files * PolydataTransform - Transforms polydata files * TransformDeformationField - concatenates or average deformation fields (H-fields or displacement fields) * DTIAtlasBuilder - Creates a DTI average from multiple DTI images

Proper citation: NIRAL Utilities (RRID:SCR_002490) Copy   

•   Source: SciCrunch Registry

http://pysurfer.github.com

Software Python tool for visualization and interaction with cortical surface representations of neuroimaging data from Freesurfer. It extends Mayavi powerful visualization engine with interface for working with MRI and MEG data. PySurfer offers command-line interface designed to broadly replicate Freesurfer program as well as Python library for writing scripts to explore complex datasets.

Proper citation: PySurfer (RRID:SCR_002524) Copy   

•   Source: SciCrunch Registry

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

Forum (Spanish) for sharing information and knowledge on this network, a collaboration between different research groups in Spain and national and international centres. (Foro para compartir datos y conocimiento sobre esta red. Se constituye el Spanish Resting State Network como una colaboracion entre distintos grupos de investigacion de Espa������a y centros nacionales e internacionales.)

Proper citation: Spanish Resting State Network (RRID:SCR_002562) Copy   

•   Source: SciCrunch Registry

http://slicedrop.com

A viewer for medical imaging data that supports a variety of scientific file formats out-of-the-box (see https://github.com/xtk/X/wiki/X:Fileformats for a complete list). We think that the best way to render your files is without any necessary conversions. Just drop'em on a website and they are ready to render. Just drag'n'drop some medical imaging files on this website or try one of the four examples in the right corner. Then, play with the panels on the left and click, drag and rotate the 3d content. Slice:Drop uses WebGL and HTML5 Canvas to render the data in 2D and 3D. We use our own open-source toolkit to perform the rendering, called XTK ( http://goxtk.com ).

Proper citation: Slice:Drop (RRID:SCR_002557) Copy   

•   Source: SciCrunch Registry

http://brainmap.org/sleuth/

Software application that searches the BrainMap Database for papers of interest, reads their corresponding meta-data, and plots their results as coordinates on a standard glass brain in Talairach space.

Proper citation: Sleuth (RRID:SCR_002555) Copy   

•   Source: SciCrunch Registry

http://fmri.wfubmc.edu/software/Bpm

Software toolbox that performs SPM analysis with voxel-wise imaging covariates. The BPM toolbox incorporates information obtained from other modalities as regressors in a voxel-wise analysis, thereby permitting investigation of more sophisticated hypotheses. The BPM toolbox has been developed in Matlab with a user-friendly interface for performing analyses, including voxel-wise multimodal correlation, ANCOVA, and multiple regression. It has a high degree of integration with the SPM (statistical parametric mapping) software relying on it for visualization and statistical inference. Furthermore, statistical inference for a correlation field, rather than a widely used T-field, has been implemented in the correlation analysis for more accurate results. Requirements: * SPM2 or SPM5 * MATLAB version 6.5 or higher

Proper citation: WFU Biological Parametric Mapping Toolbox (RRID:SCR_002613) Copy   

•   Source: SciCrunch Registry

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

Software toolbox for statistical image clustering, peak detection and data extraction developed to allow the user to have flexibility of clustering their data. Based on your threshold, it will cluster your data and find the peaks within each cluster. Additionally, it has been combined with a data extraction tool that allows one to extract the data from all the scans of the analysis from all the clusters, along with several other extraction options, with a single command.

Proper citation: peak nii (RRID:SCR_002572) Copy   

•   Source: SciCrunch Registry

http://www.loni.usc.edu/Software/FFT

Java library used for the execution of discrete Fourier transforms in 1-D, 2-D and 3-D through the implementation of Fast Fourier Transform (FFT) algorithms. * The FFT library has been written in Java for portability across different platforms, integrated into a single jar file for easy implementation. * The FFT library provides forward and backward fast Fourier transforms in 1-D, 2-D and 3-D with an easy-to-use manner. * The FFT requires the length equal to a number with an integer power of two. This library automatically examines the input data and detects the length to prevent improper execution.

Proper citation: FFT Library (RRID:SCR_002698) Copy   

•   Source: SciCrunch Registry

http://www.LONI.usc.edu/Software/ShapeViewer

Java-based geometry viewer that supports file formats used by Center for Computational Biology (CCB) researchers and provides necessary viewing functions. ShapeViewer uses ShapeTools library support to read and display LONI Ucf, VTX XML, FreeSurfer, Minc Obj (both binary and ascii), Open Dx, Gifti, and OFF format data files.

Proper citation: LONI ShapeViewer (RRID:SCR_002695) Copy   

•   Source: SciCrunch Registry

http://www.loni.usc.edu/Software/SHIVA

A Java-based visualization and analysis application that can process 2D and 3D image files and provides convenient methods for users to overlay multiple datasets. * Simultaneous visualization of multiple image volumes. * Tools for labeling and masking of structures. * Framework for the Mouse Atlas Project.

Proper citation: Synchronized Histological Image Viewing Architecture (RRID:SCR_002690) Copy   

•   Source: SciCrunch Registry

http://www.vaa3d.org

A handy, fast, and versatile 3D/4D/5D Image Visualization & Analysis System for Bioimages & Surface Objects. Vaa3D is a cross-platform (Mac, Linux, and Windows) tool for visualizing large-scale (gigabytes, and 64-bit data) 3D/4D/5D image stacks and various surface data. It is also a container of powerful modules for 3D image analysis (cell segmentation, neuron tracing, brain registration, annotation, quantitative measurement and statistics, etc) and data management. Vaa3D is very easy to be extended via a powerful plugin interface. For example, many ITK tools are being converted to Vaa3D Plugins. Vaa3D-Neuron is built upon Vaa3D to make 3D neuron reconstruction much easier. In a recent Nature Biotechnology paper (2010, 28(4), pp.348-353) about Vaa3D and Vaa3D-Neuron, an order of magnitude of performance improvement (both reconstruction accuracy and speed) was achieved compared to other tools.

Proper citation: Vaa3D (RRID:SCR_002609) Copy   

•   Source: SciCrunch Registry

http://www.tractor-mri.org.uk/

Software application that includes R packages for reading, writing and visualising magnetic resonance images stored in Analyze, NIfTI and DICOM file formats (DICOM support is read only). It also contains functions specifically designed for working with diffusion MRI and tractography, including a standard implementation of the neighbourhood tractography approach to white matter tract segmentation. A shell script is also provided to run experiments with TractoR without interacting with R.

Proper citation: TractoR: Tractography with R (RRID:SCR_002602) Copy   

•   Source: SciCrunch Registry

http://tipl.labsolver.org

A lightweight C++ template library designed mainly for medical imaging processing. The design paradigm follows generic programming, and the purpose is to provide an easy-to-use and also ready-to-use library. The code is template-based, and only header files are needed to be included to the source code. This library provides the following functions: # DICOM (r), Analyze(r), Nifti (r/w), and MATLAB MAT V4 (r/w) # numerical: add, multiply, gradient. # interpolation: linear, gaussian radial basis # filters: mean, gaussian, laplacian, sobel, anisotropic diffusion # morphological processing: erosion, expansion, opening, closing # template-based Fourier transform # linear coregistration: rigid body, affine transform, least square fit, mutual information # nonlinear coregistration: The Large Deformation Diffeomorphic Metric Mapping (LDDMM)

Proper citation: Template Image Processing Library (RRID:SCR_002600) Copy   

•   Source: SciCrunch Registry

http://www.turtleseg.org

An interactive segmentation tool originally designed for 3D medical images. Accurate and automatic 3D medical image segmentation remains an elusive goal and manual intervention is often unavoidable. TurtleSeg implements techniques that allow the user to provide intuitive yet minimal interaction for guiding the 3D segmentation process.

Proper citation: TurtleSeg (RRID:SCR_002605) Copy   

•   Source: SciCrunch Registry

http://www.bic.mni.mcgill.ca/software/N3/

The perl script nu_correct implements a novel approach to correcting for intensity non-uniformity in MR data that achieves high performance without requiring supervision. By making relatively few assumptions about the data, the method can be applied at an early stage in an automated data analysis, before a tissue intensity or geometric model is available. Described as Non-parametric Non-uniform intensity Normalization (N3), the method is independent of pulse sequence and insensitive to pathological data that might otherwise violate model assumptions. To eliminate the dependence of the field estimate on anatomy, an iterative approach is employed to estimate both the multiplicative bias field and the distribution of the true tissue intensities. Preprocessing of MR data using N3 has been shown to substantially improve the accuracy of anatomical analysis techniques such as tissue classification and cortical surface extraction.

Proper citation: MNI N3 (RRID:SCR_002484) Copy   

•   Source: SciCrunch Registry

https://github.com/gbook/nidb

Neuroimaging database designed to allow simple importing, searching, and sharing of imaging data. NIDB also provides automated pipelining with importing of results back into NIDB which can be searched along with imaging meta data.

Proper citation: NIDB - Neuroinformatics Database (RRID:SCR_002488) Copy   

•   Source: SciCrunch Registry

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

Software algorithm that automatically estimates and removes physiological noise in BOLD fMRI data, including the effects of heartbeat and respiration. This algorithm (1) masks out high-variance CSF and vascular tracts that may otherwise confound analyses, and (2) regresses out noise timeseries in grey matter tissue, using an adaptive multivariate component decomposition (Canonical Autocorrelations Analysis). PHYCAA+ is an efficient, automated procedure that does NOT require external measures of physiology, nor does it require the user to manually identify noise components. Based on the peer-reviewed article: Churchill & Strother (2013). PHYCAA+: An Optimized, Adaptive Procedure for Measuring and Controlling Physiological Noise in BOLD fMRI. NeuroImage 82: 306-325

Proper citation: PHYCAA+: adaptive physiological noise correction for BOLD fMRI (RRID:SCR_002514) Copy   

•   Source: SciCrunch Registry

https://pdbp.ninds.nih.gov

Common data management resource and web portal to promote discovery of Parkinson's Disease diagnostic and progression biomarker candidates for early detection and measurement of disease progression. PDBP will serve as multi-faceted platform for integrating existing biomarker efforts, standardizing data collection and management across these efforts, accelerating discovery of new biomarkers, and fostering and expanding collaborative opportunities for all stakeholders.

Proper citation: Parkinson’s Disease Biomarkers Program Data Management Resource (PDBP DMR) (RRID:SCR_002517) Copy   

•   Source: SciCrunch Registry

http://idealab.ucdavis.edu/software/

A collection of software tools used for processing and organizing MRI data. The Dicom Importer allows you to to view, assemble, and organize dicom files. Subject Library is a filesystem-based search and reporting tool that can be configured to work with many different organization schemes. This package also contains a python library that can be used to write scripts for custom tasks.

Proper citation: Subject Library (RRID:SCR_002595) Copy   

•   Source: SciCrunch Registry