Calculates distances through volume with Eikonal equation
wm_dist calculates distances from points on a mesh through a volume. Distances are calculated by solving the Eikonal equation. The primary use case for wm_dist is brain imaging for calculating distances through the cortical white matter from vertex points defined on a mesh representation of the cortical gray matter. However, in principal, any distances can be calculated through any volume from any points defined on an surface mesh.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size wm_dist-1.0.2-cp36-cp36m-any.whl (54.3 kB)||File type Wheel||Python version cp36||Upload date||Hashes View|
|Filename, size wm_dist-1.0.2.tar.gz (13.0 kB)||File type Source||Python version None||Upload date||Hashes View|
Hashes for wm_dist-1.0.2-cp36-cp36m-any.whl