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Mission statement

What is dipy?

  • a python package for analyzing diffusion data
  • a software library or API
  • a module and a lightweight toolkit
  • a platform to develop and test old/new algorithms
  • part of a bigger plan - the nipy suite
  • a new easy way to do diffusion research
  • quick, scriptable and readable
  • a project to contribute and share your code
  • always free
  • always open source
  • A new window into the brain.

Want to know more? Read our Documentation, Installation guidelines and try the examples. Didn’t find what you are looking for? Then try Frequently Asked Questions and then if this doesn’t help either send an e-mail to our e-mail list nipy-devel@neuroimaging.scipy.org with subject starting with [dipy]. We would love to help :-)

_images/three_brains_golden_new_small.png

This is a depiction of track correspondence between three different brains.

A few tracks were selected on the red brain and their corresponding tracks were found automatically on the cyan and blue brains [1]. If you want to learn more how you can create these with your datasets read the examples in our Documentation .

[1] Garyfallidis E, Brett M, Tsiaras V, Vogiatzis G, Nimmo-Smith I (2010), “Identification of corresponding tracks in diffusion MRI tractographies” Proc. Intl. Soc. Mag. Reson. Med. 18