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1 | 1 | # dicom-microscopy-viewer |
2 | 2 | Web-based viewer for [DICOM Visible Light Whole Slide Microscopy Images](http://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_A.32.8.html). |
3 | 3 |
|
| 4 | + |
| 5 | +## Install |
| 6 | + |
| 7 | +The `dicom-microscopy-viewer` package can be installed via [npm](https://www.npmjs.com/): |
| 8 | + |
| 9 | +```None |
| 10 | +npm install dicom-microscopy-viewer |
| 11 | +``` |
| 12 | + |
| 13 | +## Build |
| 14 | + |
| 15 | +The library can be build locally with [rollup](https://rollupjs.org/guide/en): |
| 16 | + |
| 17 | +```None |
| 18 | +git clone https://github.com/dcmjs-org/dicom-microscopy-viewer ~/dicom-microscopy-viewer |
| 19 | +cd ~/dicom-microscopy-viewer |
| 20 | +npm install |
| 21 | +npm run build |
| 22 | +``` |
| 23 | + |
| 24 | +## Usage |
| 25 | + |
| 26 | +```js |
| 27 | +const url = 'http://localhost:8080/dicomweb'; |
| 28 | +const client = new DICOMwebClient.api.DICOMwebClient({url}); |
| 29 | +const studyInstanceUID = '1.2.3.4'; |
| 30 | +const seriesInstanceUID = '1.2.3.5'; |
| 31 | +const viewer = new DICOMMicroscopyViewer.api.MicroscopyViewer({ |
| 32 | + client, |
| 33 | + studyInstanceUID, |
| 34 | + seriesInstanceUID |
| 35 | +}); |
| 36 | +viewer.render({container: "viewport"}); |
| 37 | +``` |
| 38 | + |
| 39 | +## Status |
| 40 | + |
4 | 41 | **This is work-in-progress and should not be used in clinical practice.** |
| 42 | + |
| 43 | +The viewer allows visualization of *VL Whole Slide Microscopy Image* datasets stored in a [DICOMweb](https://www.dicomstandard.org/dicomweb/) compatible archive. |
| 44 | +It leverages [dicomweb-client](https://github.com/dcmjs-org/dicomweb-client) to retrieve data from the archive. |
| 45 | + |
| 46 | +### Limitations |
| 47 | + |
| 48 | +Currently, the viewer only supports |
| 49 | + |
| 50 | +* baseline JPEG with transfer syntax "1.2.840.10008.1.2.4.50" |
| 51 | +* brightfield illumination (no fluorescence) |
| 52 | +* 2D images (no z-stacks) |
| 53 | + |
| 54 | +## Support |
| 55 | + |
| 56 | +The developers gratefully acknowledge their reseach support: |
| 57 | +* Open Health Imaging Foundation ([OHIF](http://ohif.org)) |
| 58 | +* Quantitative Image Informatics for Cancer Research ([QIICR](http://qiicr.org)) |
| 59 | +* [Radiomics](http://radiomics.io) |
| 60 | +* The [Neuroimage Analysis Center](http://nac.spl.harvard.edu) |
| 61 | +* The [National Center for Image Guided Therapy](http://ncigt.org) |
| 62 | +* The [MGH & BWH Center for Clinical Data Science](https://www.ccds.io/) |
| 63 | + |
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