| Name | mrivis JSON |
| Version |
0.3.8
JSON |
| download |
| home_page | None |
| Summary | Intuitive high-level classes for visualization of medical imaging data |
| upload_time | 2023-03-28 15:48:20 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | None |
| keywords |
mrivis
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
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|
------
mrivis
------
.. image:: http://joss.theoj.org/papers/10.21105/joss.00897/status.svg
:target: https://doi.org/10.21105/joss.00897
.. image:: https://img.shields.io/pypi/v/mrivis.svg
.. image:: https://api.codacy.com/project/badge/Grade/370b1b78383b40b99eb15ae0490cfbdb
:target: https://www.codacy.com/app/raamana/mrivis
.. image:: https://img.shields.io/badge/say-thanks-ff69b4.svg
:target: https://saythanks.io/to/raamana
`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:
.. image:: docs/flyer_option_matrix.png
Full documentation https://raamana.github.io/mrivis/readme.html
Executable and interactive demo for the visualization classes:
.. image:: https://mybinder.org/badge.svg
:target: https://mybinder.org/v2/gh/raamana/mrivis/master?filepath=docs%2Fexample_notebooks%2Fmrivis_demo_vis_classes.ipynb
**Installation**
.. code-block:: console
$ 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``
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