Awesome

Volume Rendering for the Browser

See it in action!

This project aims to develop a powerful real-time volume rendering engine for the browser.

This is accomplished using volume ray casting, implemented in WebGL 2.

A variety of shaders exist, from basic maximum-intensity projection to photorealistic graphics.

How do I render my own data?

I am planning to implement a better way to do this, but for now, you'll have to clone the project and edit the code to add your own images.

First, have a look at webgl2/images/sagittal.png. Slices from the image data are tiled into one image top-down, then left-right. Multiple columns are sometimes necessary because browsers have limits on the maximum size of a <canvas> element.

To generate such an image, ImageMagick is a powerful tool.

Once you have generated your image, add an entry to the volumes variable in webgl2/js/raycasting.js:

var volumes = {
    sagittal: {                        // any variable name
         src: "./images/sagittal.png"  // path to your image
        ,name: "Brain - Water"         // a (somewhat) descriptive name
        ,columns: 2                    // number of columns by which your tiles are arranged
        ,slices: 176                   // number of total image slices
        ,zScale: 0.7                   // ratio of distance between slices to distance between pixels
    }
    // ...
}

When you refresh the page, you should now see your volume in the drop down list.

Volume Generator

For testing, there's a volume generator, which might also be interesting for other projects working with volume data.

CPU-Only version

Before implementing this project in WebGL, I wrote a volume renderer in pure CPU-side, single-threaded JavaScript.

With some tweaking, I managed to get it running at 60fps on my old ThinkPad.

Previous work

This project is the successor of earlier experiments with volume rendering by drawing point clouds:
GitHub, Web

Disclaimer

This is an experimental project developed by someone who has no real experience or training in medical imaging.
It is not intended or suitable for clinical use.