A complete medical image viewer, in your browser.

No installer, no server, no account. Drag in a study and it is decoded, rendered and segmented on your own machine — and your annotations, measurements, reports and datasets stay in the browser, or in a folder you choose, rather than in an ImagiVue repository.

Beta access is invitation-only for now. Already invited? Use button above.

Not cleared for clinical diagnostic use.
For research and educational purposes only.

A few of the things you will be testing

A sample of the viewer, not the full tour — the rest is waiting behind the login.

Open Almost Anything

  • DICOM, NIfTI and multi-frame studies, plus JPEG, PNG and TIFF
  • Drag in files, or scan a whole folder recursively
  • Or connect straight to a PACS over DICOMweb

GPU Rendering Built for Reading

  • Window/level, zoom and pan run on the GPU, not the CPU
  • Layouts from 1x1 to 6x4, with MPR and cine playback
  • Automatic WebGL2 fallback and device-loss recovery

In-Browser AI Segmentation

  • Click one point and MedSAM proposes the region
  • Boundary refinement snaps the contour onto the real image edge
  • No upload, no GPU server, no queue

Browser-Local Imaging by Design

Don’t take our word for it — open DevTools and watch the Network tab while you work.

  • ✓Intended viewer workflows keep images browser-local — verify ordinary traffic in your DevTools Network tab
  • ✓AI segmentation runs in your browser — no upload, no GPU server, no queue
  • ✓DICOMweb connections go directly from your browser to your PACS, with no proxy in between
  • ✓DICOM files are parsed and rendered entirely in the browser
  • ✓Annotations, measurements and reports are stored locally — as plain files on disk once you connect a data directory — with no routine ImagiVue cloud upload
  • ✓Cloud serves only application code and AI model weights — no analytics or tracking pixels touch patient data
Cloud (No PHI)
CDN → App Code + AI Model Weights
Auth Service → Account Management Only
↓ Internet ↓
Your Browser
DICOM Parser → WebGPU Renderer
ONNX Runtime Web → AI Models
Annotations → IndexedDB
↓ Direct Connection (bypasses our cloud) ↓
Hospital PACS
DICOMweb ←→ Browser (direct)

This is a private testing deployment of ImagiVue · service status