Metadata-Version: 2.1
Name: dicompyler-core
Version: 0.5.5
Summary: A library of core radiation therapy modules for DICOM / DICOM RT used by dicompyler
Home-page: https://github.com/dicompyler/dicompyler-core
Author: Aditya Panchal
Author-email: apanchal@bastula.org
License: BSD License
Description: dicompyler-core
        ===============
        
        |Binder| |pypi| |travis-ci| |coveralls| |Codacy| |Codecov| |Documentation Status| |Zenodo|
        
        A library of core radiation therapy modules for DICOM / DICOM RT used by `dicompyler <http://www.dicompyler.com>`__. This
        package includes:
        
        -  ``dicomparser``: parse DICOM objects in an easy-to-use manner
        -  ``dvh``: Pythonic access to dose volume histogram (DVH) data
        -  ``dvhcalc``: Independent DVH calculation using DICOM RT Dose & RT Structure Set
        
        Other information
        -----------------
        
        -  Free software: `BSD license <https://github.com/dicompyler/dicompyler-core/blob/master/LICENSE>`__
        -  Documentation: `Read the docs <https://dicompyler-core.readthedocs.io>`__
        -  Tested on Python 2.7, 3.5, 3.6
        
        Dependencies
        ------------
        
        -  `numpy <http://www.numpy.org>`__ 1.2 or higher
        -  `pydicom <https://pydicom.github.io>`__ 0.9.9 or higher (pydicom 1.0 compatible)
        -  `matplotlib <http://matplotlib.org>`__ 1.3.0 or higher (for DVH calculation)
        -  `six <https://pythonhosted.org/six/>`__ 1.5 or higher
        -  Optional:
        
           -  `Pillow <https://pillow.readthedocs.io>`__ (for image display)
           -  `Shapely <https://github.com/Toblerity/Shapely>`__ (for structure volume calculation)
           -  `scikit-image <http://scikit-image.org/>`__ (for DVH interpolation)
        
        Basic Usage
        ------------
        
        .. code-block:: python
        
            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: |Binder|
        
        Citing dicompyler-core
        ----------------------
        A DOI for dicompyler-core with various citation styles can be found at Zenodo: |Zenodo|
        
        
        Credits
        -------
        
        This package was created with
        `Cookiecutter <https://github.com/audreyr/cookiecutter>`__ and the
        `audreyr/cookiecutter-pypackage <https://github.com/audreyr/cookiecutter-pypackage>`__ project template.
        
        .. |Binder| image:: http://mybinder.org/badge.svg
           :target: http://mybinder.org/repo/bastula/dicom-notebooks
        .. |pypi| image:: https://img.shields.io/pypi/v/dicompyler-core.svg
           :target: https://pypi.python.org/pypi/dicompyler-core
        .. |travis-ci| image:: https://img.shields.io/travis/dicompyler/dicompyler-core.svg
           :target: https://travis-ci.org/dicompyler/dicompyler-core
        .. |coveralls| image:: https://coveralls.io/repos/github/dicompyler/dicompyler-core/badge.svg?branch=master
           :target: https://coveralls.io/github/dicompyler/dicompyler-core?branch=master
        .. |Codacy| image:: https://api.codacy.com/project/badge/Grade/39060fc468844402a4030715fe01bb15
           :target: https://www.codacy.com/app/bastula/dicompyler-core?utm_campaign=Badge_Coverage
        .. |Codecov| image:: https://codecov.io/gh/dicompyler/dicompyler-core/branch/master/graph/badge.svg
           :target: https://codecov.io/gh/dicompyler/dicompyler-core
        .. |Documentation Status| image:: https://readthedocs.org/projects/dicompyler-core/badge/?version=latest
           :target: https://dicompyler-core.readthedocs.io/en/latest/
        .. |Zenodo| image:: https://zenodo.org/badge/51550203.svg
           :target: https://zenodo.org/badge/latestdoi/51550203
        
Keywords: dicompyler-core,dicompylercore,dicompyler
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Scientific/Engineering :: Physics
Provides-Extra: dvhinterpolation
Provides-Extra: image
Provides-Extra: volume
