An introduction to working with magnetic resonance imaging (MRI) data in Python.
This lesson teaches:
- a (re?) introduction to MR nomenclature - with BIDS
- how neuroimaging data is stored
- "converting" your data to BIDS
- BIDS apps
- queueing up neuroimaging pipelines
| # | Episode | Time | Question(s) |
|---|---|---|---|
| 1 | Neuroimaging Fundamentals | 30 | What are the common neuroimaging modalities? |
| 2 | Anatomy of a NIfTI | 30 | How is MRI data organized in a NIfTI file? |
| 3 | Brain Imaging Data Structure | 30 | How can I organize my study? |
| 4 | Open MRI Datasets | 30 | How can I download and query an MRI dataset? |
We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.
We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.
Please see the current list of issues for ideas for contributing to this
repository. For making your contribution, we use the GitHub flow, which is
nicely explained in the chapter Contributing to a Project in Pro Git
by Scott Chacon.
Look for the tag 
Current maintainers of this lesson are
A list of contributors to the lesson can be found in AUTHORS
Instructional material from this lesson is made available under the Creative Commons Attribution (CC BY 4.0) license. Except where otherwise noted, example programs and software included as part of this lesson are made available under the MIT license. For more information, see LICENSE.
To cite this lesson, please consult with CITATION