https://github.com/IUSCA/SQAN

Scalable Quality Assurance for Neuroimaging - (SQAN): A full-stack system solution for extracting, translating, and logging (ETL) + web portal-based quality-control verification of DICOM-formatted medical imaging data/metadata.
https://github.com/IUSCA/SQAN

Last synced: about 1 month ago
JSON representation

Scalable Quality Assurance for Neuroimaging - (SQAN): A full-stack system solution for extracting, translating, and logging (ETL) + web portal-based quality-control verification of DICOM-formatted medical imaging data/metadata.

• Host: GitHub
• URL: https://github.com/IUSCA/SQAN
• Owner: IUSCA
• License: other
• Created: 2018-01-23T20:37:30.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2023-02-01T05:17:53.000Z (almost 2 years ago)
• Last Synced: 2024-08-03T18:20:21.426Z (5 months ago)
• Language: JavaScript
• Homepage: https://sqan.sca.iu.edu/
• Size: 7.45 MB
• Stars: 8
• Watchers: 7
• Forks: 3
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

• awesoMRI-QC - SQAN

README

        
# Scalable Quality Assurance for Neuroimaging - (SQAN)

## Web based instrumental & protocol quality control for medical imaging

## Introduction

SQAN (formerly RADY-SCA) is a full-stack system solution for extracting, translating, and logging (ETL) + modern web portal-based quality-control verification of DICOM-format medical imaging data and metadata. SQAN consists of four principle components:

* Incoming (node.js)

  * Watches for and retrieves imaging data from a transfer service (e.g. an Orthanc instance)

  * Extracts and compresses metadata and stores in a database

* Quality Control (node.js)

  * Performs protocol and exam-level verification on newly arrived data, and on existing data as requested

* API (node.js/ExpressJS)

  * Provides authorized access to metadata and QC results

* UI (VueJS)

  * Allows authorized users to view stored data, QC results, modify QC templates and access controls, comment on QC issues, alert affected researchers, and re-run QC tests

  

  

## Requirements

* node.js (>8.0)

* yarn (>1.2)

* MongoDB (>3.4)

* nginx

## Deployment

1.  Clone this repository

2.  `cd sqan && yarn install`

3.  `cd config && ./genkey.sh`

  * generates public/private keys for JSON Web Token signing/verification

4.  `cp index.sample.js index.js`

  * Modify config/index.js as needed

5. `cd ../ui/src && cp config.sample.js config.js`

  * Modify ui/src/config.js as needed

6.  `yarn install`

7.  `yarn build`

8.  Launch API

  * `npm start` 

9.  Configure nginx to serve API/UI 

10.  (optional) Load sample dataset (available upon request)

11.  (optional) Initiate Incoming and QC processes

  * `npm run incoming`

  * `npm run qc`

12. (optional) Use `pm2` or similar process manager to run API and other required processes listed above.

## nginx configuration

Sample nginx configuration to serve UI and API

  

```

    location / {

        alias /usr/local/sqan/ui/dist;

        index index.html;

        try_files $uri $uri/ /index.html =404;

    }

    

    location /api/qc/ {

        proxy_pass http://localhost:22340/;

    }

```

Make sure the port for the API matches that set in `config/index.js` and the location for the API matches the setting in `ui/config.js`