I have moved the most popular functionality of this library (namely the image load/save, and RTStruct mask load/mask-generation functions) to a more actively maintained repository: RTTypes
For continued availability of the feature calculation framework, you may continue to use this library, though maintainence will be less frequent.
This is a library written in Python 3.x and CUDA for common tasks when dealing with the DICOM medical image format in a research setting.
Key features include:
- Easy I/O of dicom images/volumes commonly used in storage of CT, MR, and PET images.
- Reading and conversion of Radiotherapy contours/masks from .rtstruct file to 2D/3D binary masks.
- Patch-based (local) image feature calculation including:
- 1st Order Statistics
- Gray Level Co-Occurence Matrices (GLCM)
- Gray Level Run-Length Matrices (GLRLM)
- Wavelet Decomposition
- Customizable Haar-Like features
- GPU-Acceleration and Multi-process management
- Customizable Logging Utilities
- Image-feature-based voxel clustering
Open a terminal window and enter:
pip3 install git+git:https://github.com/ryanneph/PyMedImage.git#egg=PyMedImageOpen a terminal window and enter:
pip3 install --upgrade git+git:https://github.com/ryanneph/PyMedImage.git#egg=PyMedImageOpen a terminal window and enter:
git clone https://github.com/ryanneph/PyMedImage.git
cd PyMedImage
pip3 install -e .