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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.
This package wraps the official dcmqi v1.5.7 release.
The following platforms are supported by the binary wheels:
| OS | Arch |
|---|---|
| Linux Intel | manylinux 64-bit |
| Linux Arm | manylinux arm64 |
| macOS 13+ | Apple Silicon |
| macOS 15+ | Intel |
| Windows | 64-bit |
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.
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