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Open any study in the browser, reconstruct it in any plane, measure it with assistive tools, and let RadIQ draft the write-up — with de-identification and search running underneath the whole time.
Diagnostic viewer
Window/level, zoom, scroll, and full measurement tools on any DICOM study.
Synthetic MPR
Reconstruct axial, sagittal, and coronal planes from a single stack, crosshairs linked.
Smart tools
Calipers that snap to tissue edges and prior studies opened side by side, synced.
Automated documents
Findings, measurements, and key images assembled into a draft report you edit.
Intelligent search
Find studies by anatomy, modality, label, or what you wrote about them.
De-identification
Names, MRNs, and dates stripped on import before anything reaches your library.
Drop a DICOM study folder or files here, or click to browse.
Everything is parsed and rendered locally in your browser. Nothing leaves your machine unless you
explicitly choose to save a de-identified copy to My Scans.
A de-identified copy of this study will be saved to your private RadIQ Studio library. Patient identifiers are removed before anything leaves your browser.
Checking these frames for identifying text before anything is saved.
These regions were found on a sample of frames and will be redacted on EVERY reconstructed slice. Click a box to remove it, or drag on the image to add one.
Drag on any view below to mark a burned-in identifier. A box on Axial covers that area on every slice; a box on Coronal or Sagittal covers that area only on the slices it spans there. Nothing is redacted until you confirm.
Grab a still frame or record a cine loop from any workstation screen (including a full clinical PACS) — a still goes through the same Import Radiograph Photo review, a recording through the same Video → Stack reconstruction, either way ending with you marking anything to redact before it's saved to My Scans automatically.
Browsers don't let a web page draw a selection box over your whole desktop — the next dialog is your browser's own screen-share picker. Pick just the window with the images (not “Entire Screen”) to share the least possible; you'll then draw a box around just the image area within that window, and only pixels inside that box are ever captured or saved.
Drag a box around the image viewport below, or click “Use whole frame” if the shared window/tab is already just the image (e.g. a fullscreen cine loop).
● Recording — only the boxed area is captured…
Frames are perspective-corrected locally and loaded as a scrollable stack — nothing is uploaded.
Draws an ROI on the loaded cine loop, measures each pixel's baseline (pre-contrast) brightness and noise from a frame range you mark, then classifies every ROI pixel as enhanced or not at a frame you choose — reporting percent of the ROI's AREA that enhanced, not a time-intensity curve. Assumes a static, unmoving probe for the whole clip; a probe that drifts or is repositioned mid-clip will bias the result. Uses the stored pixel values directly, not the on-screen window/level.
Drag on the image to draw an elliptical ROI over the region to measure (e.g. the ablation/ embolization target). Drag again to redraw it.
Pick a short run of frames from BEFORE contrast arrives — a few seconds of pre-injection frames is enough. These establish each pixel's own resting brightness and noise level, which is what "enhanced" is measured against.
The frame percent-enhanced is measured at — typically peak enhancement, but any frame can be evaluated (e.g. to track washout). "Auto-detect peak frame" scans frames after the baseline range for the one with the highest average brightness inside the ROI.
A pixel counts as enhanced once it rises this many standard deviations above its OWN baseline brightness — not a fixed brightness cutoff, since resting brightness varies across the image. Lower = more sensitive (more area flagged, more false-positive noise); higher = stricter.
No reference saved yet.
Checking positioning concordance before comparing: cyan = saved reference's baseline-frame edges, magenta = this loop's own baseline-frame edges. Nudge below until the two line up (or confirm they already do) — this is a visual/manual check only, it does not alter either loop's own measurement, since each ROI is drawn independently on its own loop.
A single photo of a physical film, lightbox, or monitor — enhanced locally (denoise, edge-preserving smoothing, sharpening) into one scrollable-viewer image, with the same windowing and invert controls as any other series. Nothing is uploaded, and this doesn't create a real DICOM series.
If this is a photo of a monitor showing a known WW/WL, enter it here to unlock real tissue presets (Soft Tissue, Bone, etc.) for this image, same as Video → Stack. Leave blank for a photographed film (no source window to know) — you'll still get generic contrast presets plus free windowing and invert once it's loaded.
Point this phone's rear camera at the workstation monitor. Square the screen to the guide box below before recording, and scroll through the study at a steady, even pace — one slice per frame, at a real, known frame rate — for the cleanest reconstruction.
Share just the window with the images (not your whole screen), drag a box around the image viewport within it, then step through slices while it captures — no video file in between, so there's no compression loss, and no perspective correction needed since this is a clean digital region rather than a filmed monitor. Every frame is checked locally for identifying text before the stack is built. Nothing is uploaded, and this doesn't create a real DICOM series.
Browsers don't let a web page draw a selection box over your whole desktop — the next dialog is your browser's own screen-share picker. Pick just the window with the images (not “Entire Screen”) to share the least possible; you'll then draw a box around just the image area within that window, and only pixels inside that box are ever captured, checked, or kept.
Drag a box around the image viewport below, or click “Use whole frame” if the shared window/tab is already just the image (e.g. a fullscreen cine loop).
If you know the PACS cine loop's own playback rate, entering it here paces capture to match it instead of assuming ~30fps — avoids re-grabbing the same displayed frame repeatedly on a slower loop.
● Capturing…
Every captured frame becomes one slice — nothing is skipped or blended. Enter the real spacing between slices in the source study (visible on the PACS) so the slice spacing here reflects reality. Step through exactly one slice per click while capturing, at a steady pace, or the spacing you enter won't match what was actually captured.
Pick a saved scan to add alongside what's already loaded, for side-by-side comparison.
Loading your saved scans…
Pick the tissue this ROI covers, then click-drag a small circle on that tissue in the image. Air and fluid are true physical constants — prefer them over fat/muscle/bone when visible. At least 2 points are needed; every value shown is an estimate, not a real calibrated HU.