Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open Workflows (Software/process demo): Macapype: An open multi-software framework for non-human primate anatomical MRI processing #29

Open
jsheunis opened this issue May 14, 2020 · 3 comments

Comments

@jsheunis
Copy link
Contributor

jsheunis commented May 14, 2020

Macapype: An open multi-software framework for non-human primate anatomical MRI processing

By David Meunier, Institut de Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS, Marseille, France

Collaborators: David Meunier, Bastien Cagna, Régis Trapeau, Kep Kee Loh, Julien Sein, Sylvain Takerkart, Olivier Coulon, Pascal Belin

  • Theme: Open Workflows
  • Format: Software/process demo

Abstract

Non-human primate (NHP) MRI neuroimaging is rapidly gaining prominence in neuroscience research as an essential means for comparing and bridging human and others primates brain anatomy and function. A key challenge that confronts the NHP neuroimaging community is the lack of standardized and robust pipelines for the processing of MRI data.

Macapype provides an open-source framework to create customized NHP-specific MRI data processing pipelines based on Nipype. Apart from the standard tools (AFNI, FSL, SPM12, and ANTs already available in Nipype), custom wraps, specific to NHP data processing such as the brain extraction AtlasBREX and registration between subject brain and the NMT macaque template, are available in the Macapype package. The user can flexibly construct customized pipelines, putting together the various processing modules (with desired parameters) that are optimal for their dataset.

A docker file is included in the package to allow users to get a fully embedded version of the pipelines.Pipelines are compatible with BIDS formatted input images. The pipelines achieve robust skull-stripping and segmentation on anatomical data from both macaque and marmoset datasets.

Installation procedures, API, and an extensive description of the segmentation results are available in the documentation.

Useful Links

https://github.com/Macatools/macapype
https://macatools.github.io/macapype/index.html

Tagging @davidmeunier79

@davidmeunier79
Copy link

@jsheunis Could you please add in the main text:

Collaborators:
David Meunier, Bastien Cagna, Régis Trapeau, Kep Kee Loh, Julien Sein, Sylvain Takerkart, Olivier Coulon, Pascal Belin

Many thanks

@davidmeunier79
Copy link

The title and abstract are correct. Thanks for adding the collaborators to the main text.

@davidmeunier79
Copy link

davidmeunier79 commented Jun 24, 2020

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

3 participants