Note - The official name for the service is "AWS HealthImaging". Before GA it was called "Amazon HealthLake Imaging" and several references in the code and documentation still reference this old name. These references will be updated shortly

Prerequisites

• Node.js +14
• OHIF follow the Getting started guide if needed
• Make sure you are checkout in the branch v3-stable
• Install ohif-aws-healthimaging package:
• Create an access key in the AWS portal
• Follow AWS documentation on how to create an AWS Health Imaging Datastore and load it with DICOM data
• Start the proxy to secure your access keys

# AWS_HOST
docker run -p 8089:8089 -e AWS_ACCESS_KEY_ID='YOUR_KEY' -e AWS_SECRET_ACCESS_KEY='YOUR_SECRET' -e AWS_REGION='YOUR_REGION' flexview/ohif-aws-healthimaging-proxy

• Add healthimaging as a dependency

yarn cli add-extension ohif-aws-healthimaging

• Add healthimaging adapter as an OHIF plugin platform/viewer/pluginConfig.json

"extensions": [
    //....
    {
      "packageName": "ohif-aws-healthimaging"
    }
  ],

• Configure the data source to access healthimaging via the proxy

platform/app/public/config/default.js

//...
  dataSources: [{
    friendlyName: 'AWS HealthImaging',
    namespace: 'ohif-aws-healthimaging.dataSourcesModule.healthlake',
    sourceName: 'healthlake',
    configuration: {
      name: 'healthlake',
      healthlake: {
        datastoreID: $YOUR_DATASTORE_ID,
        endpoint: 'http://localhost:8089',// Add here the address to you proxy
      },
      singlepart: 'bulkdata,video,pdf,image/jphc',
    }
  }
  ],

• Run OHIF

yarn start # in the OHIF platform/viewer folder

• Opening your first exam

http://localhost:3000/viewers?StudyInstanceUIDs=$DICOMStudyUIDHere&ImageSetID=$ImageSetIDHere

git clone git@github.com:RadicalImaging/ohif-aws-healthimaging.git
cd ohif-aws-healthimaging
yarn install
# rebuild the plugin on every change
yarn watch
# start coding
yarn test # to run unit tests

Description

Support metadata and imaging data loading from AWS HealthImaging

Advance config option

.dataSources[].groupSeriesBy // Change the field used to grup series by, the default value is `seriesNumber`. Ps grouping by SeriesInstanceUID will result into one series per Image Set

Known Issues

• StudyList does not support querying on the following fields: Patient Name, Study Date, Description, Modality

FAQ

Why do we need the proxy server?

• You should never expose your AWS keys to the client. We created this tiny proxy with the only purpose of hiding the AWS keys in the backend.
• The Proxy server available here is meant to be for development only. In actual use cases, we encourage you to implement authentication on top of the proxy so you secure access to your data.

Authors

Bill Wallace, Mateus Freira, Radical Imaging, Chris Hafey, Ibrahim Mohamed, Jefferson Tang

License

MIT