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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.
How many passes do you need?
These apply to all three recordings — enter them once here, rather than three times. They're what lets the crosshair land on the right frame in each plane.
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.
Leave unchecked to import the clip's frames as-is — a plain scrollable cine loop, no reconstruction. Check this to instead perspective-correct, denoise/sharpen and reslice the frames into a volume-like stack (needs a real slice thickness below).
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.
Ellipse: drag on the image to draw an oval ROI over the region to measure. Freehand: trace the lesion's actual outline — on release it simplifies to a few draggable dots you can nudge to fine-tune the boundary. Drag again (either mode) to redraw.
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.
Ellipse: drag on the image to draw an oval ROI over the region to track (e.g. the nodule or ablation target). Freehand: trace the actual outline — on release it simplifies to a few draggable dots you can nudge to fine-tune the boundary. This ROI is independent of Enhanced Area's own ROI above — each mode draws its own.
This cine has no acquisition timestamp read from the DICOM, so time values below are an estimate (frame number ÷ this rate), not a calibrated acquisition time.
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 your screen live with anyone you send the link to — no account needed on their end. Best for up to around 10 attendees at once.
You're live. When the browser's own screen-share picker asked which screen/window/tab to share, whatever you picked is what attendees see — switch to your PACS/RadIQ viewer there to walk through a case.
Waiting for attendees to join…
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.
Drop a DICOM case here, or click to choose files
Upload your own case (stays local to this browser) to practise talking through it exactly as in the real CR2B viva.
Case
[0 slices]
Practice mode — no examiner connected. Talk through the case on the left as if presenting your findings to an examiner here.
Operates on whatever cine loop is already loaded in the main viewer — import a study through the normal RadIQ Studio pipeline first (with redaction, if needed), then open this from the CEUS dialog's "Treatment-response workflow" link. Answer a few questions, draw an ROI, and compute percent of the ROI classified as enhancing. Teaching/demo use only — do not use for clinical decision-making.
No cine loop is currently loaded. Import a DICOM study through the normal pipeline (drag & drop, with an optional redaction step), then reopen this from the CEUS dialog's "Treatment-response workflow" link.
A saved session must be attached to a My Scans scan record. Choose the matching scan here, or save this upload to My Scans first, then reopen this dialog.
Acquisition settings below are entered manually — CEUS scanners rarely, if ever, write these into DICOM metadata reliably, so they are not read from the file.
Estimates the percent of a nodule's swept volume still classified as enhancing on a follow-up scan. Mark the nodule's outline across the cine loop's keyframes (draggable dots let you nudge the auto-interpolated outline on frames in between), then interactively pick an enhancement-brightness cutoff by clicking directly on the image — that becomes the threshold every ROI pixel on every marked frame is classified against. Operates on whatever cine loop is already loaded in the main viewer. Teaching/demo use only — do not use for clinical decision-making.
No cine loop is currently loaded. Import a DICOM study through the normal pipeline (drag & drop, with an optional redaction step), then reopen this from the CEUS dialog's "Residual enhancement" link.
After drawing (either shape), the outline gets draggable dot handles — drag any dot to nudge that part of the boundary before setting the keyframe.
0 keyframes marked (need at least 1; 2+ lets frames between them interpolate)
Click directly on a pixel in the image above that looks like enhancing tissue — that shade's band becomes the enhancing cutoff (that band and everything brighter counts as enhancing). Re-click to change your mind. Use Show native frame first if you want to see the actual tissue, unposterized, before you click.
Scrub to a representative frame (ideally in the contrast plateau), pick which brightness scalar drives the overlay, then choose how many shades to auto-posterize the ROI into. Check a couple of other frames in the sweep too before applying — brightness can drift slightly frame to frame.
Bands are equal-width slices of this scalar's observed min–max range inside the ROI, auto-shaded low (dark) to high (bright). Click the image to pick the enhancing cutoff band — it highlights here too.
Derived automatically from the same marked ROI and calibrated threshold above — central vs. peripheral (rim) distribution, and whether enhancement tends to appear centrally first (centrifugal) or peripherally first (centripetal) across the sweep. A suggested characterization to review, not an automated diagnosis.
Red tint = classified enhancing. Faint blue tint = inside the ROI but not enhancing. Every analyzed frame is scrubbable here — spot-check any of them against what you'd call enhancing.
Optional — link this session to a My Scans record for easier retrieval later.