Retrieve medical images via WADO-URI, WADO-RS, QIDO-RS, MINT, RAD69 and DICOM-QR
Retrieve medical images via WADO-URI, WADO-RS, QIDO-RS, MINT, RAD69 and DICOM-QR
pydicom and pynetdicom. Images and query results are pydicom.Dataset instances
dicomtrolley docs on readthedocs.io
pip install dicomtrolley
# 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')
FAQs
Retrieve medical images via WADO-URI, WADO-RS, QIDO-RS, MINT, RAD69 and DICOM-QR
We found that dicomtrolley demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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