A clinical-grade diagnostic platform that turns conventional ultrasound into a 3D, AI-highlighted view of what's actually happening inside the patient — tumours, infections, abnormalities — all revealed earlier and more clearly.
Radiologists work from 2D black-and-white slices. Small lesions, early-stage infections and subtle abnormalities can be missed. Diagnoses get delayed. Patients get re-scanned. Treatment windows narrow.
NanoEcho was built to change that — by giving clinicians a live, 3D, AI-highlighted view of the anatomy in front of them, with the regions of concern called out automatically.
Volumetric 3D reveals what flat slices hide — small lesions and infections detected earlier in the diagnostic journey.
Computer-vision overlays automatically highlight regions of concern, so the radiologist's eye goes to the right place first.
Clearer imagery and pre-annotated findings shorten reporting time and reduce the need for repeat scans.
Four coordinated steps turn raw ultrasonic signal into a diagnostic-grade 3D image.
A high-precision ultrasonic probe streams live data from inside the body — slice by slice — at clinical frame-rates.
A controlled magnetic field excites administered nano-particles, making infections, tumours and abnormalities far more visible to the probe.
AI computer-vision sharpens the imagery, reduces noise and highlights areas of concern for the radiologist to review first.
A real-time 3D engine reconstructs the volume so the clinician can rotate, slice and explore the anatomy — not just look at a frame.
Calm, dark, glanceable — designed for a quiet clinical environment, with alarm + system-ready states always visible.
Pre-flight check confirms software, hardware and scanner power-on before a scan can start.
Service-mode controls — pulse length, framerate, transmit elements — for biomedical engineers, not clinicians.
Dual-view live ultrasound with quick controls for power, magnet, record, freeze, save and probe selection.
NanoEcho keeps the moving parts cleanly separated so clinical performance never depends on UI responsiveness or device timing. The result is a calm, predictable experience for the clinician — and a maintainable platform for the engineering team.
The ultrasonic probe and the magnetic-excitation motor — driven by their native hardware libraries.
A Python data-acquisition layer with a state-machine and shared-memory model, exchanging frames over TCP / ZMQ.
A real-time 3D engine (Unreal Engine 4) renders the volume — the same fidelity used in modern games, now in a clinical context.
A trained vision pipeline runs alongside the live scan — sharpening the image, calling out anomalies, and giving the clinician a head-start.
Suspicious regions get a soft, non-intrusive overlay — never a final verdict, always a "look here" hint for the human.
Optimised vision pipelines compress the time from probe-to-pixel, keeping the live view responsive even under heavy scan loads.
Noise reduction and contrast enhancement make subtle anatomy easier to read — without obscuring the underlying truth.
Replace 2D slices with a rotatable, sliceable 3D volume — explore anatomy the way clinicians actually think.
Computer-vision pre-annotates regions of concern, so reading time is spent on judgement, not hunting.
Tight Python ↔ Unreal pipeline keeps live frames responsive — no "scan now, see later" friction.
Nano-particle excitation surfaces lesions and inflammations that conventional ultrasound can quietly miss.
Separate operator and service modes, always-visible alarm and system-ready states — built for clinical reality.
The architecture welcomes new probes, new vision models and new render passes without touching the clinician's workflow.
Whether it's diagnostic imaging, surgical planning, or remote consultation — we can stand up an AI-assisted, real-time 3D imaging platform on top of your hardware.