Towards DIPY 1.0: new user-friendly tools for visualization, tractometry and statistical analysis in diffusion MRI data

[skoudoro]

Title

Towards DIPY 1.0: new user-friendly tools for visualization, tractometry and statistical analysis in diffusion MRI data

Presentor and Affiliation

Serge Koudoro - Indiana University - @skoudoro
Eleftherios Garyfallidis - Indiana University - @Garyfallidis

Collaborators

Ariel Rokem - University of Washington - @arokem
International DIPY contributors (global)

Github Link (if applicable)

http://dipy.org
https://github.com/nipy/dipy

Abstract (max. 200 words):

This presentation will give attendees a sneak-peek into the features of the upcoming 1.0 release of the DIPY (Diffusion Imaging in Python) project. DIPY is the largest community-based open-source software project and it implements many methods in computational neuroanatomy, with an emphasis on methods for the analysis of diffusion MRI (dMRI) data. The 1.0 release will feature many new methods and will provide users with end-to-end tools to visualize, analyze and interpret their data. The demo will focus on two new features of DIPY. The first is “HORIZON”, a new system for visualization of dMRI tractography that allows users to explore their data and interactively segment the data using state-of-the-art bundle clustering and bundle extraction methods. The second is a new system of command-line interfaces that ease the use of the Python API implemented in DIPY.

Preferred Session

3. “Demo: New advances in open neuroimaging methods”

Additional Context

Documentation: http://dipy.org
Tutorial: http://dipy.org/examples_index.html
Installation: pip install dipy or conda install -c conda-forge dipy

[TimVanMourik]

Hi @skoudoro, I’m happy to tell you that we’d like to host your presentation as a demo/tutorial talk in the OSR in the Demo: New advances in open neuroimaging methods session. This will be a talk of 20 minutes + 5 minutes of questions. We’ll update the program in the ReadMe.md shortly. We’d much appreciate it if you could submit slides and other presentation material to the presentations folder by means of a Pull Request to this repository, preferably but not necessarily before the presentation.