Magnetic resonance angiogram of the vasculature of a patient’s head

MRI scan of a head

Twelve diffusion weighted volumes and one non-diffusion-weighted (B=0) reference volume.

Comprehensive dataset of a head. This dataset contains a segmented tetrahedral finite element mesh, high- and low-resolution surface models of the scalp and cortex, a point-cloud of electrodes, and a dipole location for a forward simulation.

Mouse paw dataset used to test the Capecchi use case scenario in Seg3D

Examples that demonstrate how to use the SCIRun converters.

This is a 3-shell cylinder model. Each shell has a distinct conductivity index.

Diffusion weighted images of the heart.

Various datasets for map3d

Matlab data contains geometry and potentials for a dog heart. The type of time series data is epicardial potentials. The mesh represents the geometry of 490 sock electrodes.

Collection of 51 small animal microCT scans.

Heart and brain data for use with Seg3D

High resolution geometry of the Utah Torso model. The meshes are tetrahedral volumes, with conductivity tensors stored with the elements. There are ten different conductivity values throughout the volume. The surfaces are TriSurfs and correspond to the boundaries of the distinct conductivity regions.

Low resolution geometry of the Utah Torso model. The meshes are tetrahedral volumes, with conductivity tensors stored with the elements. The surfaces are TriSurfs and correspond to the boundaries of the distinct conductivity regions.

High resolution geometry of the Utah Torso model. The meshes are tetrahedral volumes, with conductivity tensors stored with the elements. There are ten different conductivity values throughout the volume. The surfaces are TriSurfs and correspond to the boundaries of the distinct conductivity regions.