Skip to main content
Python Software Foundation 20th Year Anniversary Fundraiser  Donate today!

Calculates distances through volume with Eikonal equation

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for wm-dist, version 1.0.2
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

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page