mrivis 0.3.8

Intuitive high-level classes for visualization of medical imaging data

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 is shown below:

Full documentation https://raamana.github.io/mrivis/readme.html

Executable and interactive demo for the visualization classes:

Installation

$ pip install mrivis

If you would like to use the export to GIF from SlicePicker, then install the imageio package as well via pip install imageio