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Processing tools for high-resolution neuroimaging

Project description

Travis CI build status Documentation Status


Nighres is a Python package for processing of high-resolution neuroimaging data. It developed out of CBS High-Res Brain Processing Tools and aims to make those tools easier to install, use and extend. Nighres now includes new functions from the IMCN imaging toolkit and additional packages may be added in future releases.

Because parts of the package have to be built locally it is currently not possible to use pip install directly from PyPI. Instead, please follow the installation instructions provided at

Currently, Nighres is developed and tested on Linux Ubuntu Trusty and Python 3.5. Release versions have been extensively tested on our example data. Development versions include additional modules and functions but with limited guarantees.

Required packages

In order to run Nighres, you will need:

  • python >= 3.5

  • Java JDK >= 1.7

  • JCC >= 3.0

For instance, in Debian/Ubuntu (amd64 systems):

sudo apt-get install openjdk-8-jdk export JCC_JDK=/usr/lib/jvm/java-8-openjdk-amd64 python3 -m pip install jcc (or just pip install jcc if Python 3 is your default)

For some functionalities you need extra packages

  • Nipype & ANTs (for registration using ANTs)

  • Pandas (for working with surface meshes)

  • Nilearn (for plotting in the examples)

If you use nighres, please reference the publictation:

Huntenburg JM, Steele CJ, Bazin P-L (2018) Nighres: processing tools for high-resolution neuroimaging. Gigascience 7 Available at:


To quickly try out nighres in a preset, batteries-included environment, you can use the included Dockerfile, which includes Ubuntu 14 Trusty, openJDK-8, nighres, and Jupyter Notebook. The only thing you need to install is Docker, a lightweight container platform that runs on Linux, Windows and Mac OS X.

To build the Docker image, do the following:

git clone
cd nighres
docker build . -t nighres

To run the Docker container:

docker run --rm -p 8888:8888 nighres

Now go with your browser to https://localhost:8888 to start a notebook. You should be able to import nighres by entering:

import nighres

into the first cell of your notebook.

Usually you also want to have access to some data when you run nighres. You can grant the Docker container access to a data folder on your host OS by using the -v tag when you start the container:

docker run --rm -v /home/me/my_data:/data -p 8888:8888 nighres

Now, in your notebook you will be able to access your data on the path /data

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