Transform text-based radiology reports into precise visual diagrams instantly.
No manual steps. Just run and done.
Designed specifically to eliminate friction and elevate clinical reporting workflows.
Traditional diagramming applications disrupt clinical focus by forcing doctors to stop dictating, open a browser, generate a graphic, download it, and manually paste it. KUB Mapper bypasses this friction by scanning text directly from MS Word or clipboard, mapping findings, and pasting the polished diagram in milliseconds.
Urologists process dozens of multi-page radiology text files daily. An unambiguous visual representation of whether a stone sits exactly at the PUJ or VUJ accelerates surgical planning. Seeing exact stone placement alongside accompanying blockages like hydronephrosis provides actionable clarity at a single glance.
Patients frequently struggle to comprehend terms like "proximal hydroureter with mild calyceal fullness". Sharing an intuitive visual aid showing the exact blockage site transforms a confusing diagnosis into an accessible layout. This transparency builds confidence, improves compliance, and is a powerful differentiator.
Unlike typical modern software tools that route highly sensitive data to external servers or third-party cloud engines, this application runs entirely locally. By reading text and generating image arrays completely within local memory, it eliminates data leakage channels and simplifies IT compliance requirements.
A seamless process from text to diagram in milliseconds.
Instantly extracts text from the currently open MS Word document. No copy-pasting required.
The NLP engine parses all calculi, states, and anatomical anomalies automatically.
Constructs a high-fidelity 3D-shaded KUB diagram mapping all findings accurately.
Pastes the final diagram at the bottom of the same Word document and autosaves.
Explore the technical depth powering KUB Calculus Mapper v5.1.
Instantly extracts the unstructured report narrative from an active Microsoft Word document, runs the parsing cycle, renders the 3D-shaded diagram, patches the graphic directly into the bottom-center of the document window, and autosaves the report file.
Operates silently in the background with global system hook listeners, triggering the entire automated pipeline via a single Ctrl + Shift + K keystroke.
Offers a dedicated text input interface where pasting report narratives instantly compiles findings and copies the high-resolution visualization directly to the system clipboard as a Device Independent Bitmap (DIB), enabling immediate pasting into any EHR system, browser interface, or editor.
Utilizes Windows kernel-level named mutex rings to ensure only one control panel runs at any given time, automatically shifting focus to the active console window if a duplicate execution attempt occurs.
Analyzes calibrated organ boundaries to calculate distinct pixels-per-millimeter ratios, ensuring drawn stone radii scale accurately relative to average adult organ dimensions.
Illustrates precise severity of structural blockages by dynamically expanding fluid vectors into calyceal branches for graded hydronephrosis/pyonephrosis, and stops hydroureter expansions exactly at the obstructing calculus coordinate.
Employs spline curve smoothing algorithms (Cubic B-Splines and Chaikin modeling) to trace dilated ureter tracts and position double-J (DJ) pigtail stents with natural anatomical curvature.
Tailors specific graphic loops to distinguish between single irregular calculi, packed stone clumps, micro-peripheral concretions, and extensive coral-like staghorn formations with custom calyceal extensions.
Utilizes an accelerated O(1) bounding box spatial hash partition grid that routes annotation text rectangles and dotted leader lines cleanly, completely avoiding layout overlaps or text covering critical anatomy paths.
Pay only for what you generate. No hidden subscriptions.
Per Image Generation