https://github.com/sjoerdk/dicomtrolley

Retrieve medical images via WADO, MINT, RAD69 and DICOM-QR
https://github.com/sjoerdk/dicomtrolley

dicom-images dicomweb mint python wado

Last synced: 5 months ago
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Retrieve medical images via WADO, MINT, RAD69 and DICOM-QR

• Host: GitHub
• URL: https://github.com/sjoerdk/dicomtrolley
• Owner: sjoerdk
• License: apache-2.0
• Created: 2021-03-12T16:21:43.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2026-01-16T18:36:33.000Z (5 months ago)
• Last Synced: 2026-01-17T06:33:38.151Z (5 months ago)
• Topics: dicom-images, dicomweb, mint, python, wado
• Language: Python
• Homepage:
• Size: 475 KB
• Stars: 11
• Watchers: 2
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Changelog: HISTORY.md
  • Contributing: docs/contributing.md
  • License: LICENSE

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README

          
# dicomtrolley

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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](docs/resources/trolley.png)

[dicomtrolley docs on readthedocs.io](https://dicomtrolley.readthedocs.io)

## Installation

```

pip install dicomtrolley

```

## Basic usage

```python

# 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](https://dicomtrolley.readthedocs.io)