Tools for MRI diffusion in human and non-human primates #169
Labels
bhg:marseille_fra_1
BHG 2021 Marseille event
git_skills:0_none
git_skills:1_commit_push
modality:DWI
modality:MRI
programming:containerization
Docker, Singularity
programming:documentation
Markdown, Sphinx
programming:Python
programming:shell_scripting
programming:Unix_command_line
project_development_status:0_concept_no_content
project_tools_skills:expert
project_type:coding_methods
project_type:documentation
project_type:pipeline_development
project_type:visualisation
project
status:published
status:web_ready
tools:DIPY
tools:Freesurfer
tools:FSL
tools:Jupyter
tools:MRtrix
tools:Nipype
topic:connectome
topic:data_visualisation
topic:diffusion
topic:MR_methodologies
topic:reproducible_scientific_methods
topic:tractography
Title
Tools for MRI diffusion in human and non-human primates
Leaders
Collaborators
No response
Brainhack Global 2021 Event
Brainhack Marseille
Project Description
There are many pipelines for processing diffusion MRI data (diffuse, qsiprep, mrtrix pipelines, FSL pipelines, dipy, Designer, etc.). For newcomers in the field of Diffusion MRI, it may be overwhelming to pick the tools that best fits the needs, as well as to define the needs themselves.
(NHP specific) : NHP image processing has specific challenges such as image reorientation, which can be more tricky when the Diffusion Vectors as to follow the transformation applied to the diffusion images.
We aim at sharing expertise, identify specific problems encountered by users, and define quality metrics (quality of orientation vectors, qualitative and quantitative quality check of processing stages)
(NHP specific) : We also aim at integrating segmentations computed externally to mrtrix and FSL pipelines, that are non-specific pipelines (i.e. also available for human images)
Skills:
Communication channels :
Programed schedule
Tuesday 7th December, 2pm CET : discussion on tools and pipelines for MRI diffusion processing
Link to project repository/sources
https://github.com/Centre-IRM-INT/MRI_Diffusion
Good first issues
Skills
Onboarding documentation
No response
What will participants learn?
Participant will learn about all the wonderful tools are already present out there and hopefully they will find the ones that best fit their needs.
They may also find new solutions to process diffusion in NHP (non-human primate) images.
Data to use
No response
Number of collaborators
more
Credit to collaborators
Project contributor are listed on the README file of the project GitHub page
Image
Type
coding_methods, documentation, pipeline_development
Development status
0_concept_no_content
Topic
connectome, data_visualisation, diffusion, MR_methodologies, reproducible_scientific_methods, tractography
Tools
DIPY, Freesurfer, FSL, Jupyter, MRtrix, Nipype
Programming language
containerization, documentation, Python, shell_scripting, unix_command_line
Modalities
DWI, MRI
Git skills
0_no_git_skills, 1_commit_push
Anything else?
No response
Things to do after the project is submitted and ready to review.
Hi @brainhackorg/project-monitors my project is ready!
The text was updated successfully, but these errors were encountered: