Metadata-Version: 2.1
Name: dcmqi
Version: 0.3.0
Summary: Python distribution of the DCMQI library collection.
Author-Email: =?utf-8?q?Leonard_N=C3=BCrnberg?= <lnuernberg@bwh.harvard.edu>
License: Copyright 2024 Leonard Nürnberg
         
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Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Classifier: Typing :: Typed
Project-URL: Homepage, https://github.com/ImagingDataCommons/dcmqi-python-distributions
Project-URL: Bug Tracker, https://github.com/ImagingDataCommons/dcmqi-python-distributions/issues
Project-URL: Discussions, https://github.com/ImagingDataCommons/dcmqi-python-distributions/discussions
Project-URL: Changelog, https://github.com/ImagingDataCommons/dcmqi-python-distributions/releases
Requires-Python: >=3.10
Provides-Extra: test
Requires-Dist: pytest>=6; extra == "test"
Requires-Dist: pytest-cov>=3; extra == "test"
Provides-Extra: dev
Requires-Dist: pytest>=6; extra == "dev"
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Provides-Extra: docs
Requires-Dist: sphinx>=7.0; extra == "docs"
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Requires-Dist: sphinx_autodoc_typehints; extra == "docs"
Requires-Dist: furo>=2023.08.17; extra == "docs"
Description-Content-Type: text/markdown

# DCMQI Python Distributions

[![Actions Status][actions-badge]][actions-link]

[![PyPI version][pypi-version]][pypi-link]
[![PyPI platforms][pypi-platforms]][pypi-link]

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## Overview

`dcmqi` (DICOM (_dcm_) for Quantitative Imaging (_qi_)) is a collection of
libraries and command line tools with minimum dependencies to support
standardized communication of
[quantitative image analysis](http://journals.sagepub.com/doi/pdf/10.1177/0962280214537333)
research data using [DICOM standard(https://en.wikipedia.org/wiki/DICOM)].

This project provides the infrastructure for building the `dcmqi` Python wheels.
For more information about `dcmqi`, please refer to
https://github.com/QIICR/dcmqi.

The Python wheels provided here contain the official `itkimage2segimage`,
`segimage2itkimage`, `tid1500writer`, `tid1500reader`, `itkimage2paramap`, and
`paramap2itkimage` executable, which is sourced from the
[GitHub releases](https://github.com/QIICR/dcmqi/releases).

Once the wheel is installed, a convenient launcher executable is automatically
placed in the PATH for each of the above mentioned libraries. This launcher is
created during installation by pip, leveraging the `[project.scripts]`
configuration defined in the `pyproject.toml` file.

## Platforms

The following platforms are supported by the binary wheels:

| OS           | Arch               |
| ------------ | ------------------ |
| Linux Intel  | manylinux 64-bit   |
| macOS 10.10+ | Intel              |
| macOS 11+    | Apple Silicon      |

## License

This project is maintained by the Imaging Data Commons team. It is
covered by the OSI-approved MIT License.

`dcmqi` is distributed under the OSI-approved BSD 3-Clause License. For further details
regarding `dcmqi`, please visit https://github.com/QIICR/dcmqi.

<!-- prettier-ignore-start -->
[actions-badge]:            https://github.com/ImagingDataCommons/dcmqi-python-distributions/actions/workflows/ci.yml/badge.svg?branch=main
[actions-link]:             https://github.com/ImagingDataCommons/dcmqi-python-distributions/actions/workflows/ci.yml
[pypi-link]:                https://pypi.org/project/dcmqi/
[pypi-platforms]:           https://img.shields.io/pypi/pyversions/dcmqi
[pypi-version]:             https://img.shields.io/pypi/v/dcmqi
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## Acknowledgments

This software is maintained by the IDC team, which has been funded in whole or in part with Federal funds from the NCI, NIH, under task order no. HHSN26110071 under contract no. HHSN261201500003I.
