mrivis offers intuitive high-level classes for visualization of medical imaging data including:
- advanced classes to easily develop customizable visualizations of 3D and 4D images, such as Carpet(), SlicePicker(), Collage() and the like
- tools for comparison of spatial alignment of two 3D MRI scans (T1, T2, PET etc) using checkerboard plots and other comparison methods
- additional helper, convenience and utility scripts related to visualization
Full documentation for both visualization classes and alignment check tools is available at
https://raamana.github.io/mrivis/readme.html
A sample gallery of different ways to check alignment (just one of the many other features in mrivis) is shown below:
Full documentation https://raamana.github.io/mrivis/readme.html
Executable and interactive demo for the visualization classes:
Installation
$ pip install mrivisIf you would like to use the export to GIF from SlicePicker, then install the imageio package as well via pip install imageio