Core functionality of dicompyler. This package includes:
dicomparser
: parse DICOM objects in an easy-to-use mannerdvh
: Pythonic access to dose volume histogram (DVH) datadvhcalc
: independent dose volume histogram (DVH) calculation if dose grid and structure data is present
- Free software: BSD license
- Documentation: Read the docs
- Tested on Python 2.7/3.3+
- numpy 1.2 or higher
- pydicom 0.9.9 or higher
- pydicom 1.0 is preferred and can be installed via pip using:
pip install https://github.com/darcymason/pydicom/archive/master.zip
- pydicom 1.0 is preferred and can be installed via pip using:
- matplotlib 1.3.0 or higher (for DVH calculation)
- six 1.5 or higher
- Optional:
- Pillow (for image display)
from dicompylercore import dicomparser, dvh, dvhcalc
dp = dicomparser.DicomParser("rtss.dcm")
# i.e. Get a dict of structure information
structures = dp.GetStructures()
>>> structures[5]
{'color': array([255, 128, 0]), 'type': 'ORGAN', 'id': 5, 'empty': False, 'name': 'Heart'}
# Access DVH data
rtdose = dicomparser.DicomParser("rtdose.dcm")
heartdvh = dvh.DVH.from_dicom_dvh(rtdose.ds, 5)
>>> heartdvh.describe()
Structure: Heart
DVH Type: cumulative, abs dose: Gy, abs volume: cm3
Volume: 437.46 cm3
Max Dose: 3.10 Gy
Min Dose: 0.02 Gy
Mean Dose: 0.64 Gy
D100: 0.00 Gy
D98: 0.03 Gy
D95: 0.03 Gy
D2cc: 2.93 Gy
# Calculate a DVH from DICOM RT data
calcdvh = dvhcalc.get_dvh("rtss.dcm", "rtdose.dcm", 5)
>>> calcdvh.max, calcdvh.min, calcdvh.D2cc
(3.0899999999999999, 0.029999999999999999, dvh.DVHValue(2.96, 'Gy'))
Advanced Usage and Examples can be found in Binder:
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.