DICOM Web Viewer (DWV)
Open source zero footprint medical image viewer.
Overview
DICOM Web Viewer (DWV) is an open-source, zero-footprint medical image viewer that runs entirely in a web browser using JavaScript and HTML5. It can be integrated into any web application to provide DICOM viewing capabilities without requiring any installation on the client side. It can load local or remote DICOM data and provides standard manipulation tools.
✨ Key Features
- Zero-footprint (runs in any modern browser)
- Open-source (GPL-3.0 license)
- Loads local and remote DICOM files
- Standard tools: contrast, zoom, pan, scroll
- Annotation and measurement tools
- Multi-planar reconstruction (MPR)
- Can be embedded into other web applications
🎯 Key Differentiators
- Lightweight and easy to embed
- Pure JavaScript/HTML5 implementation
- Good documentation and examples
Unique Value: Provides a simple, open-source, and platform-independent way to embed DICOM viewing capabilities into any modern web application.
🎯 Use Cases (4)
✅ Best For
- Providing a web-based interface for viewing DICOM images from a PACS system.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Users looking for a ready-to-use desktop application.
- Clinical diagnosis, as it is not certified for diagnostic use.
🏆 Alternatives
Often seen as a more lightweight and straightforward library to integrate for basic viewing tasks compared to more comprehensive frameworks like OHIF.
💻 Platforms
💰 Pricing
Free tier: DWV is free and open-source software.
🔄 Similar Tools in Medical Image Viewers
RadiAnt DICOM Viewer
High-performance and intuitive DICOM viewer for medical professionals....
OsiriX
A powerful DICOM viewer for macOS, widely used for medical imaging and research....
PostDICOM
A cloud-based platform for storing, viewing, and sharing medical images....
MicroDicom
A free DICOM viewer for Windows with an intuitive user interface....
Weasis
A versatile, open-source, cross-platform DICOM viewer for standalone and web-based use....
ITK-SNAP
An open-source application focused on manual and semi-automatic segmentation of 3D medical images....