dicom-microscopy-viewer

DICOM Microscopy Viewer

Web-based viewer for DICOM Visible Light Whole Slide Microscopy Images.

Install

The dicom-microscopy-viewer package can be installed via npm package manager:

npm install dicom-microscopy-viewer

Build

The library can be build locally with rollup:

git clone https://github.com/dcmjs-org/dicom-microscopy-viewer ~/dicom-microscopy-viewer
cd ~/dicom-microscopy-viewer
npm install
npm run build

Test

The library can be tested locally with mochify (using mocha and chai):

git clone https://github.com/dcmjs-org/dicom-microscopy-viewer ~/dicom-microscopy-viewer
cd ~/dicom-microscopy-viewer
npm install
npm test

Usage

const url = 'http://localhost:8080/dicomweb';
const client = new DICOMwebClient.api.DICOMwebClient({url});
const studyInstanceUID = '1.2.3.4';
const seriesInstanceUID = '1.2.3.5';
const viewer = new DICOMMicroscopyViewer.api.DICOMMicroscopyViewer({
  client,
  studyInstanceUID,
  seriesInstanceUID
});
viewer.render({container: "viewport"});

Status

This is work-in-progress and should not be used in clinical practice.

The viewer allows visualization of VL Whole Slide Microscopy Image datasets stored in a DICOMweb compatible archive. It leverages the dicomweb-client JavaScript library to retrieve data from the archive.

Limitations

Currently, the viewer only supports

• baseline JPEG compressed data (transfer syntax "1.2.840.10008.1.2.4.50")
• brightfield illumination (no fluorescence)
• 2D images (no z-stacks)

Support

The developers gratefully acknowledge their reseach 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 MGH & BWH Center for Clinical Data Science