A package created for ease of use working with NumPy in 3D Slicer
Project description
slicerutil
A package containing usefull functions for working with common nodes in 3D Slicer as NumPyArrays.
Table of Contents
Installation
!!!! Please install this package in a Slicer python environment through 3D Slicer's python terminal !!!!
Install dependencies:
- Python >= 3
- NumPy
- Matplotlib
Install slicerutil
import pip
pip.main(['install', 'slicerutil'])
Import the package
After installing the package use the following to import:
import slicerutil as su
or if you want to use the package in function mode (without oop):
import slicerutil.basic_functions as bf
License
The following repository is under MIT license. For more information, visit LICENSE.
Setup
Downloading the 3D slicer application & supporting software
Please follow the steps provided bellow:
- Visit slicer to download the application.
- Visit anaconda to download python3/ jupyter notebook.
- Visit Visual Studio Code to download the source-code editor (optional).
- From the Extensions Manager widget, download the SlicerJupyter, MeshToLabelMap, PETDICOMExtension (if working with PET DICOMS), SlicerRT (if working with radiotherapy data).
- The Slicer application needs to restart to install the extensions.
Set up the SlicerJupyter
-
Using the search widget in Slicer, open the SlicerJupyter extension by searching for JupyterKernel.
-
Click the "Start Jupyter Server" button. A JupyterLab notebook will open when the setup is complete.
-
Click the "Jupyter server in external Python environment" and copy the command to clipboard.
-
Open the anaconda prompt (Terminal if on mac) and paste the command.
-
(Optional) open an external environment (Visual Studio Code) and select the Slicer kernel!
Acknowledgements
The slicer scripting tutorial would not be possible without the following open source software:
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