neuropacs 1.8.6

neuropacs Python API

neuropacs™ Python API

Connect to neuropacs™ diagnostic capabilities with our Python API.

Getting Started

Installation

pip install neuropacs

Usage

import neuropacs

api_key = "api_key"
server_url = "neuropacs_url"
product_name = "Atypical/MSAp/PSP-v1.0"
prediction_format = "XML"
origin_type = "my_application"

# INITIALIZE NEUROPACS API
npcs = neuropacs.init(server_url=server_url, api_key=api_key, origin_type=origin_type)

# CONNECT TO NEUROPACS
connection = npcs.connect()

# CREATE A NEW JOB
order_id = npcs.new_job()

# UPLOAD A DATASET FROM PATH
upload_status = npcs_admin.upload_dataset_from_path(order_id=order_id,  path="/path/to/dataset/")

# START A JOB
# --> Valid product_name options: Atypical/MSAp/PSP-v1.0
job_start_status = npcs.run_job(order_id=order_id, product_name=product_name)

# CHECK JOB STATUS
job_status = npcs.check_status(order_id=order_id)

# RETRIEVE JOB RESULTS
# --> Valid prediction_format options: TXT, PDF, XML, PNG
job_results = npcs.get_results(order_id=order_id, prediction_format=prediction_format)

DICOMweb WADO-RS Integration

# DEFINE DICOMweb PARAMETERS
wado_url = "http://localhost:8080/dcm4chee-arc/aets/DCM4CHEE/rs"
study_uid = "1.3.12.2.1107.5.2.32.35162.30000022041820573832300000043"
username = "username"
password = "password"

# UPLOAD DATASET FROM DICOMweb WADO-RS
upload = npcs.upload_dataset_from_dicom_web(
  order_id=order_id,
  wado_url=wado_url,
  study_uid=study_uid,
  username=username,
  password=password,
  callback=lambda data: print(data) # optional progress callback
)

Authors

Kerrick Cavanaugh - [e-mail]

Version History

• 1.0.0
  • Initial Release
  • See release history
• 1.8.5
  • Latest Stable Release

License

This project is licensed under the MIT License - see the LICENSE.md file for details