QC-Studio workflow with Nipoppy #10
Description
Title
QC-Studio workflow with Nipoppy
Leaders
Nikhil Bhagwat (nikhil153_)
Michelle Wang (michelle__wang)
Brent McPherson
Collaborators
No response
Project Description
Nipoppy is a lightweight framework for standardized organization and processing of neuroimaging-clinical datasets. Its goal is to help users adopt the FAIR principles and improve the reproducibility of studies.
This brainhack project aims to add a visual quality control (QC) interface to the Nipoppy framework. We will build a prototype using Streamlit and Niivue tools. The QC interface would show both 2D image report (.svg) and 3D nifti files. We will test this prototype on raw and processed images from fmriprep pipeline using a sample Nipoppy dataset.
MRI quality checks are hard! We would like to make them a bit easier :)
Link to project repository/sources
No response
Goals for Brainhack Montreal
A minimal web interface showing 2D and 3D (nifti) images.
Skills
- Python (intermediate)
- Streamlit / Front end development (Good to have!)
Tech stack
No response
Onboarding documentation / Expectations
No response
What will participants learn?
No response
Data to use
No response
Credit to collaborators
No response
Image
No response
Type
pipeline_development
Project Maturity Status
0 - concept but no content
Topic
data_visualisation
Tools
fMRIPrep
Programming language
Python
Modalities
MRI
Git skills
1_commit_push
Anything else?
No response
Things to do after the project is submitted and ready to review.
- Short summary of your project pitch to present during the hackathon.