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Wrappers for working with popular neuroimaging tools (e.g. FSL) and reading/writing popular file formats (e.g. NIfTI) in GPI

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gpi-neurotools

This repository contains wrappers for working with popular neuroimaging tools (e.g. FSL) and reading/writing popular file formats (e.g. NIfTI) in GPI.

BET brain extraction and FAST segmentation using the BET_FAST node on the GPI canvas

Installation

Follow the instructions in this article for installing new node libraries in GPI.

Dependencies

  • GPI Framework version 1.0.0 or newer (must have the BORG)
  • NIBabel - Python libraries for reading and writing common neuroimaging file formats
    • pip install nibabel - make sure you use the pip associated with GPI's Python
  • FSL - FNIRB Software Library

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Wrappers for working with popular neuroimaging tools (e.g. FSL) and reading/writing popular file formats (e.g. NIfTI) in GPI

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