Skip to content

LarsonLab/ilumr-courseware

 
 

Repository files navigation

ilumr-courseware

Lab courses for ilumr: the Educational MRI System by Resonint.

Installation on ilumr

Method 1: With git

Requires internet access on the ilumr system via its ethernet connection.

Open a terminal in the jupyterlab interface and run:

git clone https://github.com/Resonint/ilumr-courseware.git

Method 2: By downloading a zip file

  1. Download the repository as a zip file

  2. Drag the zip file from your downloads folder into the jupyterlab file browser

  3. Open a terminal in the jupyterlab interface and run:

     unzip ilumr-courseware-main.zip
    

Usage

The notebooks under the courses directory can be opened using the jupyterlab file browser and executed.

Note: The notebooks load python modules from the dashboards-inline directory using relative imports, so they must be run from the directory structure of this repository. To create a copy for e.g. students to use it is recommended to either use the git clone or unzip methods above.

The notebooks can also be viewed on a PC with jupyterlab installed (but generally not executed, as the matipo library is only available on ilumr).

Status

MRI Fundamentals

# Topic Status
1 Intro to NMR First Draft
2 Imaging & K-Space First Draft
3 Selective Excitation First Draft
4 Relaxation & Contrast First Draft
5 Fast Imaging Planned
6 Imaging Artefacts Planned
7 Flow & Diffusion Planned
8 Non-Cartesian Imaging Planned

Contributing

Pull requests are welcome. For major changes and feature requests, please visit the Resonint public forum to discuss what you would like to change.

Issues are appreciated for reporting bugs. For general support, create a topic in the forum's support category.

License

MIT

Acknowledgments

This project is built on contributions from the following people:

  • Cameron Dykstra
  • Sharon McTaggart
  • Sergei Obruchkov
  • Cam Nowikow
  • Mike Noseworthy

About

Courseware for the ilumr educational MRI system

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 72.8%
  • HTML 27.0%
  • Python 0.2%