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XNAT Ingest

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XNAT-Ingest is a collection of tools to sort, label, de-identify data and upload them to an XNAT repository. Support for various file types is provided through the FileFormats package and its extensions (e.g. FileFormats MedImage, FileFormats Siemens,...).

flowchart LR
    Scanner(["Scanner / instrument"]) --> Group["group"]
    Group --> Assign["assign"]
    Assign --> Deidentify["deidentify (optional)"]
    Deidentify --> Upload["upload"]
    Upload --> XNAT[("XNAT")]
    Upload -.-> CheckUpload["check-upload"]

    Extra(["files without\nsorting metadata"]) -.-> Associate["associate (optional)"]
    Group -.-> Associate
    Associate -.-> Assign

Installation

A Docker image containing the toolkit can be pulled from the GitHub Container Registry and entrypoint of the image is the xnat-ingest CLI so commands can be run by the form

docker run ghcr.io/australian-imaging-service/xnat-ingest:latest <command-name> <arg1> <arg2> ... --opt1 <opt1> ...

Alternatively, XNAT ingest can be installed as a Python package from PyPI with pip:

$ python3 -m pip install xnat-ingest

Running

XNAT Ingest has a public API and a command-line interface (CLI), with sub-commands to group, assign, associate, de-identify, and upload imaging sessions to XNAT — either as a one-off run or as a continuously-running service (e.g. via Docker Compose or Kubernetes).

See the full documentation for a hands-on quick start, how-to guides for each part of the pipeline, and the complete CLI/API reference.

Metadata

Release files for xnat-ingest 0.16.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for xnat-ingest 0.16.2
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Built distribution (wheel)

Table of built distributions (wheels) for xnat-ingest 0.16.2
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xnat_ingest-0.16.2-py3-none-any.whl Python 3 none any Details

Total release size: 459.9 kB

Release files / xnat_ingest-0.16.2.tar.gz

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Uploaded via twine/7.0.0 CPython/3.13.14

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