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
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.
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.
The following platforms are supported by the binary wheels:
| OS | Arch |
|---|---|
| Linux Intel | manylinux 64-bit |
| macOS 10.10+ | Intel |
| macOS 11+ | Apple Silicon |
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.
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.