Scalable framework for designing and running neuroimaging preprocessing pipelines

[Remi-Gau]

Added as an issue for book keeping

Source:
https://brainhackto.github.io/Global-Toronto-11-2019/projects.html

Name: Aras Kayvanrad

Contact: mkayvanrad@research.baycrest.org

Institution/Company: Rotman Research Institute

Project Description: This project aims to create flexible and scalable fMRI preprocessing pipelines. fMRI Pipeline uses an object-oriented framework to create and run preprocessing pipelines. In this framework, each pipeline consists of a number of preprocessing steps, where each proprocessing step is an object of class PreprocessingStep. This design allows to construct versatile pipelines in which different preprocessing steps can be used in any desired order.

Goals:

Tools Used: scipy, nibabel, nipipe, pandas, fsl, afni, freesurfer

Areas of Interest: Containerization/Pipelining;Quality Assurance Tools;Statistical Analysis;Visualization;Neuroimaging

GitHub Link: https://github.com/kayvanrad/fmri_pipeline