BIRN – Biomedical Informatics Research Network

This data set consists of spoiled gradient-recalled echo magnetic resonance imaging data from five healthy volunteers (four males and one female) scanned twice at four sites having 1.5T systems from different vendors (Siemens, GE, Marconi Medical Systems).

MRI Studio is a Windows-based software package, developed at Johns Hopkins University that includes support for 3D visualization, the processing of diffusion tensor data, and image registration.

The Large Deformation Diffeomorphic Metric Mapping (LDDMM) tool is an application which aims to assign metric distances on the space of anatomical images in Computational Anatomy thereby allowing for the direct comparison and quantization of morphometric changes in shapes.

The ELUDE dataset is a longitudinal study of late-life depression at Duke University.

This dataset contains the acquired DTI data and the co-registered DTI data for a healthy male volunteer scanned on three separate scanning sessions over 2 days.

A multiple institution study of structural MRI, including raw PD and T2 MRIs and derived measures of white matter changes, basal ganglia and other regions.

This set consists of a cross-sectional collection of 416 human subjects aged 18 to 96, including individuals with Alzheimer’s disease; T1-weighted MRI scans obtained in single scan sessions are included.

The Extensible Neuroimaging Archive Toolkit (XNAT) is an open source software platform designed to facilitate management and exploration of neuroimaging and related data.

Captures the results from activation maps using the XCEDE schema.

Provides a visual programming interface that allows researchers to link many independently developed analysis programs into a processing “pipeline.”

The goal of this software is to provide a 3D correction of image distortions in MRI data due to non-linearity of the magnetic fields from the imaging gradient coils.

Set of semi-automated tools for reconstruction of the brain’s cortical surface and overlay of functional data onto the reconstructed surface.

DTI Gradient Table Creator computes the correct gradient table (i.e., the list of vectors that describe the diffusion weighting directions to use for analysis) for DTI acquisitions on Philips MRI scanners.

This algorithm, which is still under the validation phase, locates the subject’s facial features and removes them without disturbing brain tissue.

Software tool (executable plus code) and recommendations for acquisition protocols to correct distortions in diffusion MR images generated by main magnetic field inhomogeneities and eddy currents.

Open-source application that assists with the visualization, registration, segmentation, and quantification of medical image data.