Note: this code is a work-in-progress and should not be used for production or clinical purposes

See live examples here

Goals

Overall the code should:

• Support reading and writing of correct DICOM objects in JavaScript for browser or node environments
• Provide a programmer-friendly JavaScript environment for using and manipulating DICOM objects
• Include a set of useful demos to encourage correct usage of dcmjs and modern DICOM objects
• Encourage correct referencing of instances and composite context when creating derived objects
• Current target is modern web browsers, but a set of node-based utilities also makes sense someday

Architectural goals include:

• Use modern JavaScript programming methods (currently ES6) but avoid heavy frameworks
• Leverage modern DICOM standards but avoid legacy parts
• Support straightforward integration with multiple JavaScript deployment targets (browser, node, etc) and frameworks.

Parts of DICOM that dcmjs will focus on:

• Enhanced Multiframe Images
• Segmentation Objects
• Parametric Maps
• Structured Reports

Parts of DICOM that dcmjs will not focus on:

• DIMSE (legacy networking like C-FIND, C-MOVE, etc)
• Physical Media (optical disks)

Usage

In Browser

<script type="text/javascript" src="https://unpkg.com/dcmjs"></script>

In Node

// To install latest _stable_ release
npm install --save dcmjs

// To install latest code merged to master
npm install --save [email protected]

For Developers

git clone https://github.com/dcmjs-org/dcmjs
cd dcmjs
npm install
npm run build
npm test

For Maintainers

Publish new version automatically from commit:

Use the following "Commit Message Format" when drafting commit messages. If you're merging a 3rd party's PR, you have the ability to override the supplied commit messages by doing a "Squash & Merge":

• Commit Message Format

Note: Be wary of BREAKING_CHANGE in commit message descriptions, as this can force a major version bump.

Be sure to use lower case for the first letter of your semantic commit message, so use fix not Fix or feat not Feat. It is advised to use the git-cz, i.e.:

• install git-cz

npm install -g git-cz

• how to commit

git-cz --non-interactive --type=fix --subject="commit message"

More info at git-cz.

Note: a new package version will be published only if the commit comes from a PR.

Community Participation

Use this repository's issues page to report any bugs. Please follow SSCCE guidelines when submitting issues.

Use github pull requests to make contributions.

Status

Currently dcmjs is an early-stage development experiment, but already has valuable functionality.

Implemented

• Bidirectional conversion to and from part 10 binary DICOM and DICOM standard JSON encoding (as in DICOMweb)
• Bidirectional convertion to and from DICOM standard JSON and a programmer-friendly high-level version (high-level form is called the "naturalized" form in the code).

In development

• Creation of (correct) enhanced multiframe DICOM objects from legacy image objects
• Creation of (correct) derived DICOM objects such as Segmentations and Structured Reports

TODO

• Create a test suite of input and output DICOM objects
• Test interoperability with other DICOM implementations
• Add documentation

History

• 2014
  • DCMTK cross compiled to javascript at CTK Hackfest. While this was useful and powerful, it was heavyweight for typical web usage.
• 2016
  • A Medical Imaging Web Appliction meeting at Stanford and follow-on hackfest in Boston helped elaborate the needs for manipulating DICOM in pure Javascript.
  • Based on DICOM Part 10 read/write code initiated by Weiwei Wu of OHIF, Steve Pieper developed further features and examples of creating multiframe and segmentation objects discussed with the community at RSNA
• 2017
  • At NA-MIC Project Week 25 Erik Ziegler and Steve Pieper worked with the community to define some example use cases to mix the pure JavaScript DICOM code with Cornerstone and CornerstoneTools.
• 2018-2021
  • Work continues to develop SR and SEG support to OHIFViewer allow interoperability with DICOM4QI

Support

The developers gratefully acknowledge their research support:

• Open Health Imaging Foundation (OHIF)
• Quantitative Image Informatics for Cancer Research (QIICR)
• Radiomics
• The Neuroimage Analysis Center
• The National Center for Image Guided Therapy
• The NCI Imaging Data Commons NCI Imaging Data Commons: contract number 19X037Q from Leidos Biomedical Research under Task Order HHSN26100071 from NCI