[CASE 03] // 2026
AR SURGICAL NAV PROTOTYPE
RESEARCH PROTOTYPE / SURGICAL NAVIGATION SIMULATION
A simulation-based dynamic AR map for soft-tissue liver tumour surgery — anatomy overlays, instrument tracking, phase recognition, deformation, and registration confidence warnings.
Role
Research prototyping, 3D simulation, registration experiment design
Services
WEB / STRATEGY
[CHALLENGE]
Surgical navigation systems must communicate planned paths, instrument position, and registration drift without pretending to be clinical-grade devices. The prototype needed to demonstrate patient-specific overlays, soft-tissue deformation, and recalibration logic in a research-safe simulation environment.
[APPROACH]
[01]
Generated synthetic CT anatomy through an offline Python pipeline feeding a Three.js/Vite viewer.
[02]
Built interactive controls for orbit, instrument movement, organ deformation, retraction, and recalibration baking.
[03]
Surfaced target registration error and confidence states when deformation pushes the map out of alignment.
[04]
Added surgical-phase recognition, planned resection paths, and structured post-op JSON export for session review.
[05]
Documented research-only boundaries clearly — simulation and education, not clinical decision support.
[OUTCOME]
A working research prototype that makes registration uncertainty visible instead of hidden — useful for exploring AR navigation concepts, offline registration experiments, and surgeon-facing warning patterns before any real-device path.