by rii-mango

rii-mango / Daikon

A JavaScript DICOM reader.

137 Stars 34 Forks Last release: almost 5 years ago (1.2) Other 322 Commits 29 Releases

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Daikon is a pure JavaScript DICOM reader. Here are some of its features:

  • Works in the browser and Node.js environments.
  • Parses DICOM headers and reads image data.
  • Supports compressed DICOM data.
  • Orders and concatenates multi-file image data.
  • Supports RGB and Palette data.
  • Supports Siemens "Mosaic" image data.
  • Parses Siemens CSA header.

Supported Transfer Syntax

Uncompressed: - 1.2.840.10008.1.2 (Implicit VR Little Endian) - 1.2.840.10008.1.2.1 (Explicit VR Little Endian) - 1.2.840.10008.1.2.2 (Explicit VR Big Endian)

Compressed: - 1.2.840.10008. (Deflated Explicit VR Little Endian) - 1.2.840.10008. (JPEG Baseline (Process 1) Lossy JPEG 8-bit) - 1.2.840.10008. (JPEG Baseline (Processes 2 & 4) Lossy JPEG 12-bit) - 1.2.840.10008. (JPEG Lossless, Nonhierarchical (Processes 14)) - 1.2.840.10008. (JPEG Lossless, Nonhierarchical (Processes 14 [Selection 1])) - 1.2.840.10008. (JPEG-LS Image Compression (Lossless Only)) - 1.2.840.10008. (JPEG-LS Image Compression) - 1.2.840.10008. (JPEG 2000 Image Compression (Lossless Only)) - 1.2.840.10008. (JPEG 2000 Image Compression) - 1.2.840.10008.1.2.5 (RLE Lossless)


API and more examples

Simple Example

daikon.Parser.verbose = true;
var image = daikon.Series.parseImage(data);
var rawData = image.getRawData();  // ArrayBuffer
var interpretedData = image.getInterpretedData();  // Float32Array (handles byte order, datatype, scale, mask)
//var interpretedData = image.getInterpretedData(true);  // Array
//var interpretedData = image.getInterpretedData(false, true);  // Object with properties: data, min, max, minIndex, maxIndex, numCols, numRows

Series Example

var series = new daikon.Series();
var files = fs.readdirSync('./data/volume/');

// iterate over files for (var ctr in files) { var name = './data/volume/' + files[ctr]; var buf = fs.readFileSync(name);

// parse DICOM file
var image = daikon.Series.parseImage(new DataView(toArrayBuffer(buf)));

if (image === null) {
} else if (image.hasPixelData()) {
    // if it's part of the same series, add it
    if ((series.images.length === 0) || 
            (image.getSeriesId() === series.images[0].getSeriesId())) {


// order the image files, determines number of frames, etc. series.buildSeries();

// output some header info console.log("Number of images read is " + series.images.length); console.log("Each slice is " + series.images[0].getCols() + " x " + series.images[0].getRows()); console.log("Each voxel is " + series.images[0].getBitsAllocated() + " bits, " + (series.images[0].littleEndian ? "little" : "big") + " endian");

// concat the image data into a single ArrayBuffer series.concatenateImageData(null, function (imageData) { console.log("Total image data size is " + imageData.byteLength + " bytes"); });


See tests/browser.html for an example. For a more advanced example, see this class in Papaya.


Get a packaged source file:

Or install via NPM:

npm install daikon

Or install via Bower:

bower install daikon


npm test


See the release folder for the latest builds or build it yourself using:

npm run build
This will output daikon.js and daikon-min.js to build/.


Daikon makes use of JPEGLosslessDecoderJS for JPEG Lossless support as well as the following third-party libraries: - g-squared for JPEG Baseline support. - image-JPEG2000 for JPEG 2000 support.

Also thanks to these contributors: - @DLiblik - @nickhingston


The authors of this software have not sought nor received approval for clinical/diagnostic use of this software library.

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