Retrieve medical images via WADO-URI, WADO-RS, QIDO-RS, MINT, RAD69 and DICOM-QR

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License: Apache Software License (Apache-2.0)

Author: sjoerdk

Requires: Python <4.0, >=3.8

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Project description

dicomtrolley

CI PyPI PyPI - Python Version Code Climate Code style: black Checked with mypy

Retrieve medical images via WADO-URI, WADO-RS, QIDO-RS, MINT, RAD69 and DICOM-QR

  • Uses pydicom and pynetdicom. Images and query results are pydicom.Dataset instances
  • Query and download DICOM Studies, Series and Instances
  • Integrated search and download - automatic queries for missing series and instance info

A trolley

dicomtrolley docs on readthedocs.io

Installation

pip install dicomtrolley

Basic usage

# Create a http session
session = requests.Session()

# Use this session to create a trolley using MINT and WADO
trolley = Trolley(searcher=Mint(session, "https://server/mint"),
                  downloader=WadoURI(session, "https://server/wado_uri"))

# find some studies (using MINT)
studies = trolley.find_studies(Query(PatientName='B*'))

# download the fist one (using WADO)
trolley.download(studies[0], output_dir='/tmp/trolley')

Documentation

see dicomtrolley docs on readthedocs.io

Project details

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Avatar for sjoerdk from gravatar.com sjoerdk

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License: Apache Software License (Apache-2.0)

Author: sjoerdk

Requires: Python <4.0, >=3.8

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