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        "author": "Josef Lundman",
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        "description": "# Dicom Image Tools \nThe dicom image tools package was created for giving a framework handling DICOM image data. Adding functionality often used for programmatic image analysis.\n\nThe package is still in early development and more features will be added.\n\n# Install Dicom Image Tools\n\nInstall using pipenv by running:\n\n``\n$ pipenv install dicom-image-tools\n``\n\nInstall using pip by running:\n\n``\n$ pip install dicom-image-tools\n``\n\nOnly **Python 3.7+** is supported.\n\n# Usage\n\nWhen you've installed the package you import it as any other package using\n\n```python\nimport dicom_image_tools\n```\n\n## Importing DICOM images\nThere are two functions for importing DICOM images, ``import_dicom_file(file: pathlib.Path)`` and ``import_dicom_from_folder(folder: pathlib.Path, recursively: bool = True)``.\n\nThe latter function has an optional input argument for specifying if the folder given should be searched for DICOM files recursively, default = ``True`` \n\nBoth will return the image/-s in ``DicomStudy`` objects, the ``import_dicom_from_folder`` function returns a dictionary with the _Study Instance UID_ as the _key_ and the corresponding ``DicomStudy`` object as _value_.\n\nYou can then add additional files to the ``DicomStudy`` object through the ``DicomStudy.add_file`` which takes the file path as a ``pathlib.Path`` object as input.\n\nThe ``DicomStudy.Series`` is a list of all series belonging to the study that has been imported. Each ``DicomStudy.Series`` item is an object containing the image/image volume and metadata for each image. The image/image volume is accessed through the ``ImageVolume`` attribute of the ``DicomStudy.Series`` item, and the metadata in the ``CompleteMetadata`` attribute.\n\n",
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        "license": "MIT",
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        "name": "dicom-image-tools",
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        "summary": "Python package for managing DICOM images from different modalities",
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