dicompyler-core 0.5.3

Other information

• Free software: BSD license

• Documentation: Read the docs

• Tested on Python 2.7/3.3+

Dependencies

• 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

• matplotlib 1.3.0 or higher (for DVH calculation)

• six 1.5 or higher

• Optional:

  • Pillow (for image display)

Basic Usage

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:

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

0.5.3 (2017-08-03)

• Added support for plotting structure colors.

• Support Python 2 unicode filenames in dicomparser.

• Support DVH calculation of structures partially covered by the dose grid.

0.5.2 (2016-07-25)

• Added DVH class for Pythonic access to dose volume histogram data.

• Refactored and added unit tests for dvhcalc.

• Added examples and usage for dvh and dvhcalc modules.

• Jupyter notebook of examples can be found in Binder:

0.5.1 (2016-02-17)

• Added support for pydicom 0.9.9 so releases from PyPI can be built.

0.5.0 (2016-02-11)

• First release on PyPI.