Weasis

Free medical DICOM viewer

by Nicolas RoduitVerified

4.3 (18)Science
2
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About

An open-source DICOM viewer for standalone and web use, built for medical image visualization in PACS and DICOM workflows — from routine reading to AI-assisted review and quantitative imaging. It is used by hospitals, health networks, multicenter research trials, and patients. General features: Connectivity and interoperability: Viewer features: - Open source under the EPL 2.0 or Apache 2.0 license - Integrates with PACS, VNA, RIS, HIS, or EHR - weasis://Desktop builds for Windows, macOS, and Linux; web launch via theprotocol - Responsive UI for high-DPI screens, with support for over 20 languages - Server- and client-side configuration with multi-level overrides - API for custom plug-ins; embeddable viewer for CD/DVD or portable media - DicomizerThemodule converts images, videos, PDFs, and STL meshes into DICOM - Classic DIMSE: Query/Retrieve (C-FIND, C-GET, C-MOVE) and Store (C-STORE) - DICOMweb (QIDO-RS, WADO-RS, STOW-RS) and WADO-URI for legacy PACS - Authentication via Basic, OAuth 2.0, and OpenID Connect, working with Keycloak, Google Cloud Healthcare, or any OIDC provider - Send to PACS or DICOMweb, or export locally as DICOMDIR ZIP, ISO with embedded viewer, or common image and video formats - EnhancedBroad data-type support, including multi-frame,CT/MR/US volumes, SR, PR, KOS, SEG, RT, ECG, and Parametric Map, with the common DICOM codecs - Multi-monitor viewing with per-monitor calibration, HiDPI, and full-screen; customizable mouse and keyboard controls - Advanced imaging: oblique MPR, MIP, 3D volume rendering with segmentation overlay, 4D/multi-phase splitting, and side-by-side comparison layouts - Measurement and annotation, including length, area, angle (Cobb), pixel-region statistics, histograms, and SUV for PET/nuclear imaging - Dedicated viewers for ECG waveforms, structured reports (SR), audio (AU), and radiotherapy (RT structure set, dose, DVH)

Additional information

Developer
Nicolas Roduit
License
EPL-2.0 OR Apache-2.0
Category
Science
Size
79.4 MB
Homepage
https://nroduit.github.io
Available via
Flathub (Flatpak), Snap Store (stable build), AUR (bin build), Nixpkgs
Catalog data as of
9/3/2026 (dataset snapshot date — per-app update dates aren't tracked yet)
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