dicomtrolley
Retrieve medical images via WADO-URI, WADO-RS, QIDO-RS, MINT, RAD69 and DICOM-QR
- Uses
pydicomandpynetdicom. Images and query results arepydicom.Datasetinstances - Query and download DICOM Studies, Series and Instances
- Integrated search and download - automatic queries for missing series and instance info
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
1 maintainer
Metadata
1 maintainer
Release files for dicomtrolley 4.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| dicomtrolley-4.1.0.tar.gz | 66.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dicomtrolley-4.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 122.2 kB
Release files / dicomtrolley-4.1.0.tar.gz
| Download URL | dicomtrolley-4.1.0.tar.gz |
|---|---|
| Size | 66.5 kB |
| Tags | Source |
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Release files / dicomtrolley-4.1.0-py3-none-any.whl
| Download URL | dicomtrolley-4.1.0-py3-none-any.whl |
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| Size | 55.7 kB |
| Tags | Python 3 |
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