Metadata-Version: 1.1
Name: dcm-spec-tools
Version: 0.1.0
Summary: Python DICOM tools using input from DICOM specs in docbook format
Home-page: http://github.com/mrbean-bremen/dcm-spec-tools
Author: mrbean-bremen
Author-email: hansemrbean@googlemail.com
License: UNKNOWN
Description: dcm-spec-tools

        ==============

        

        *dcm-spec-tools* is planned to be a collection of simple pure python

        command line tools which get the input from the DICOM standard in

        docbook format as provided by `ACR NEMA <http://medical.nema.org/>`__.

        

        | Use ``get_dcm_specs`` to download DICOM specs of the wanted version

          from the official site.

        | This converts the relevant parts to json files for usage by the tools.

        

        Currently available tools: \* ``validate_iods`` checks DICOM files for

        correct attributes for the given SOP class. \* ``dump_dcm_info`` outputs

        the DICOM tag IDs and values of a given DICOM file.

        

        Installation: ``pip install dcm-spec-tools`` Use the ``--help`` option

        for each script do get usage info.

        

        Note that this is still in an early stage of development.

        

        `pydicom <https://github.com/darcymason/pydicom>`__ is used to

        read/parse DICOM files.

        
Keywords: dicom python
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Healthcare Industry
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Console
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft :: Windows
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
