DicomNode is a framework for building post-processing pipeline of medical images. It specializes in converted dicom images into formats usable formats (e.g. Nifti, Minc) and back to dicom.
The Library require:
- g++
- cmake
- pybind11
- Python developer tools
Using apt:
sudo apt install g++ cmake python3-pybind11 python3-dev
To install this library
pip install git+https://github.com/Rigshospitalet-KFNM/DicomNode.git
The generated reports use Latex to compile pdf reports. This is done using defaults for pylatex which rely on installed latex compilers.
To install compilers
Using apt:
sudo apt install texlive
If you are using custom fonts:
sudo apt install texlive-xetex
The omnitool is an extendable toolkit for some common functionality.
- anonymize - Anonymizes a dicom file or directory
- show - Displaying a Dicom file
- store - Sends DIMSE C-Store to target dicom-node
To use the toolkit use:
omnitool $tool $tool_arguments
Docs are deployed at: Read the docs
To run tests you need to install the extra packages for testing with:
pip install git+https://github.com/Rigshospitalet-KFNM/DicomNode.git[test]
Then run the tests with:
coverage run runtests.py && coverage report --show-missing
[1] D. P. Playne and K. Hawick "A New Algorithm for Parallel Connected-Component Labelling on GPUs" in IEEE Transactions on Parallel and Distributed Systems, vol. 29, no. 6, pp. 1217-1230, 1 June 2018, doi: 10.1109/TPDS.2018.2799216.