**PROJECT RELOCATION**

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.

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PyMedImage

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.

Overview

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

Installing

Open a terminal window and enter:

pip3 install git+git://github.com/ryanneph/PyMedImage.git#egg=PyMedImage

Updating

Open a terminal window and enter:

pip3 install --upgrade git+git://github.com/ryanneph/PyMedImage.git#egg=PyMedImage

Development

Open a terminal window and enter:

git clone https://github.com/ryanneph/PyMedImage.git
cd PyMedImage
pip3 install -e .