Content
Hello AMI
| 
    
       | 
  
    
      Lesson 00: Load
    
     
      Load DICOM Data and get a nice Series/Stack/Frame structure.
     
   | 
  
  
    
       
    
   | 
  
    
      Lesson 01: Visualize 3D
    
     
      Look at the data we loaded in 3D.
     
   | 
    
       
    
   | 
  
    
      Lesson 02: Mesh
    
     
      Add a mesh to the scene.
     
   | 
  
  
    
       
    
   | 
  
    
      Lesson 03: Visualize 2D
    
     
      Look at the data in 2D.
     
   | 
    
       
    
   | 
  
    
      Lesson 04: Labelmap
    
     
      Overlays on top of you data.
     
   | 
  
  
    
      Lesson 05: TRK
    
     
      TRK - coming soon.
     
   | 
|
    
       
    
   | 
  
    
      Lesson 06: Volume Rendering
    
     
      Volume Rendering.
     
   | 
  
  
    
      Lesson 07: Lookup tables
    
     
      Lookup Tables - coming soon.
     
   | 
|
    
       
    
   | 
  
    
      Lesson 08: Custom progress bar
    
     
      Custom progress bars.
     
   | 
(more) Advanced demos
Volume rendering, 2D viewer, arbitrary reslicing and more examples and advanced demos there!
Features
✅ READY 🔶 IN PROGRESS OR LIMITED SUPPORT ❌ ON ROADMAP
| Capabilities | Volumes | Meshes | Widgets | 
|---|---|---|---|
| ✅ 2D Visulization | ✅ Dicom | ✅ VTK (THREEJS) | 🔶 Handle (2D/3D) | 
| ✅ 3D Visualization | ✅ NRRD | ✅ STL (THREEJS) | 🔶 Probe (2D/3D) | 
| ✅ Volume Rendering | ✅ Nifti | ✅ TRK | 🔶 Ruler (2D/3D) | 
| ✅ Lookup Tables | ✅ MHD/(Z)RAW | ✅ FSM | 🔶 Orientation (2D/3D) | 
| ✅ Label Maps | ✅ MGH/MGZ | ❌ CURV | 🔶 Angle (2D/3D) | 
| ❌ JPEG | 
Usage
Pre-requisites
- ES2015 promises support. (consider using polyfills if needed)
 - Load THREEJS your index.html BEFORE AMI.
 
<script src="https://cdnjs.cloudflare.com/ajax/libs/three.js/r81/three.js"></script>
Yarn
$> yarn add ami.js
Note: you might need to include babel transforms in you build process.
// app.js
import * as AMI form 'ami.js';
window.console.log('Ready to rock!!');
ami.js
Check-out the lessons to get started quickly.
New: Use the new factory not to have to include three in index.html.
import * as THREE from 'three';
import {stackHelperFactory} from 'ami.js';
const StackHelper = stackHelperFactory(THREE);
const stackHelper = new StackHelper();
Add AMI in your index.html after THREEJS.
<!-- index.html -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/three.js/r81/three.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/ami.js/0.0.12/ami.min.js"></script>
<script src="app.js"></script>
#app.js
const AMI = AMI;
window.console.log('Ready to rock!!');
Developer corner
Get the source code and related packages.
$> git clone https://github.com/FNNDSC/ami.git
$> cd ami
$> yarn install
To run examples (browserify/babelify/serve the example)
$> yarn example <examples name>
#run the geometries_slice example
$> yarn example geometries_slice
Build standalone library to lib/
$> yarn build:ami
Build minified standalone version run
$> yarn build:ami:prod
Tests
$> yarn test
Documentation
$> yarn doc
Build and deploy dist/ to gh-pages
$> yarn deploy
Find out more about the API.
Change log
Credits
AMI would not exist without them:
THREEJS
- Base components such as Vectors, Matrices and Objects3D.
 - HTML template for example page.
 - Author(s): mrdoob
 
DicomParser
- DICOM parsing relies on it.
 - Author(s): chafey
 
CornerstoneWADOImageLoader
- Was used to figure out how to use the dicom parser properly.
 - Author(s): chafey
 
NIFTI-Reader-JS
- Nifti parsing relies on it.
 - Author(s): rii-mango
 
NRRD-JS
- NRRD parsing relies on it.
 - Author(s): jaspervdg
 
JPEGLosslessDecoderJS
- JPEG Lossless Decoder for DICOM images
 - Author(s): rii-mango
 
Image-JPEG2000
Pako
- GZ file decompression
 - Author(s): nodeca
 
Citations
2017
- From brain imaging to weather imaging - McCaie - informaticslab, Met Office (blog post)
 - Medical imaging in the browser with the A* Medical Imaging (AMI) toolkit. - Rannou et al. - ESMRMB 2017 (poster)
 - Reusable Client-Side JavaScript Modules for Immersive Web-Based Real-Time Collaborative Neuroimage Visualization - Bernal-Rusiel et al. - Frontiers in Neuroinformatics 2017 (article)