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medimaging

medical imaging analysis using dicom server

Overall process interaction diagram

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The above diagram has the following component:

  • nginx server to expose the orthanc server to the outside world.
  • Orthanc server which hosts the dicom protocol based REST api and the corresponding file storage on the server.
  • process cron, which regularly executes jobs to cleanup images which are imported from the orthanc server to the web viewer.
  • Web viewer backend REST api server that interacts with the orthanc server and does custom frontend based jobs
  • web ui: custom viewer for the images.

Portal images

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Installation instructions

The software uses nodejs for running the backend REST API and Orthanc DICOM server to interface over REST API with dicom images. Hence you would require nodejs version > v10.16.3. Current version used to test is: v10.16.3. For unit testing we need to have mocha installed.

Steps:

- git clone https://github.com/nilaysaha/medimaging.git

Create binary for orthanc server

- cd server/Orthanc-1.7.2
- ./build_static.sh (This imports static files from remote repo and build a orthanc server in a newly created "Build" directory)
- nohup ./Build/Orthanc & (to start the dicom complaint REST api server and detach it from terminal)

Run a cron job for processing incoming images.

- node src/monitor_changes.js & (This runs a job every 10 seconds which checks the Orthanc server started above, for new images. If found it parses and converts images to png for frontend viewer)

Install the web viewer

- cd medimaging/src/viewer
- npm install (uses package.json to install dependencies and create node_modules directory)
- npm start (to start the web application for viewing the images)

Testing:

  • There is a unit test created to see if the Orthanc server is working.
  • To run the unit test:
    • cd medimaging
    • mocha tst/test.js (this tests the server is up and running, inputting a dicom image & deleting the dicom image)

License

MIT