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The HCP Pipelines product is a set of tools (primarily, but not exclusively, python3) for processing MRI image using Nipy. This repository is based on the original HPC preprocessing pipeline

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Human Connectome Project Preprocess Pipeline

The HCP Pipelines product is a set of tools (primarily, but not exclusively, Python3) for processing MRI images for the Human Connectome Project using Nipy. Among other things, these tools implement the Minimal Preprocessing Pipeline (MPP)

This Repository is inspired and implemented by HCPpipelines of Washington-University. And it is based on workfolw made by fMRIprep, which is very good tools to implement sMRI or fMRI preprocessing workflows.

Preprocessing Pipeline Details

  • Gradient Unwrapping
  • Motion Correction
  • Fieldmap based EPI distortion correction
  • brain-boundary based registration of EPI to structural T1-Weighted scan
  • non-linear registration into MNI152 space
  • grand-mean intensity normalization

Dependencies [Enviroment]

  • Python3 : 3.6.0

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The HCP Pipelines product is a set of tools (primarily, but not exclusively, python3) for processing MRI image using Nipy. This repository is based on the original HPC preprocessing pipeline

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