Workflow is an important component of the Quantative Imaging Network(QIN). For the face-to-face meeting in April 2017, this demonstration project will show the utility of grunt and TACTIC to store, process and orchestrate workflow. Using Docker and Docker Compose, a "cluster" of machines is created containing a DICOM ingestion system, TACTIC, Consul, and several grunt-enabled processing algorithms.
docker-compose upTo execute the tutorial follow the steps:
Start up the infrastructure described in the yml file of docker compose. The services that have been implemented in this demo are:
- Tactic (CMS)(port: 9907)
- Dicom receiver (dcmtk)(port: 9902)
- Slicer (port: 9904)
- riipl (port: 9901)
- dcmqi (port: 9905)
- Python machine learning (port: 9908)
We choose to use dcm4che (DCMTK although it was used as a receiver could not handle the DCO object)
./dcmsnd receiver@localhost:9902 {folder or file}
Tactic has been preconfigured with the triggers used for the QIN demo.
To access Tactic visit 0.0.0.0:9907
User: admin
Password: admin
https://docs.google.com/presentation/d/1SBiw6VlwhgZorq9ahHbf4ZfTi_JvyZnz4oDjOJy0qN4/edit?usp=sharing
Supported by the NCI Grant CA160045