mrivis 0.4

Intuitive high-level classes for visualization of medical imaging data

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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

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A sample gallery of different ways to check alignment (just one of the many other features in mrivis) is shown below:

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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