Next-Level Diagnostic Imaging

See inside the body in real-time 3D.

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.

3D
Real-time render
AI
Highlighted findings
IoT
Connected device
3
Tier architecture
AI diagnostic imaging platform
Why we built it

Conventional ultrasound is fast — but flat.

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.

The platform 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.

See more, sooner

Volumetric 3D reveals what flat slices hide — small lesions and infections detected earlier in the diagnostic journey.

AI points to the answer

Computer-vision overlays automatically highlight regions of concern, so the radiologist's eye goes to the right place first.

Faster, more confident calls

Clearer imagery and pre-annotated findings shorten reporting time and reduce the need for repeat scans.

How it works

From probe to 3D, in real time.

Four coordinated steps turn raw ultrasonic signal into a diagnostic-grade 3D image.

01

Scan

A high-precision ultrasonic probe streams live data from inside the body — slice by slice — at clinical frame-rates.

02

Excite

A controlled magnetic field excites administered nano-particles, making infections, tumours and abnormalities far more visible to the probe.

03

Enhance

AI computer-vision sharpens the imagery, reduces noise and highlights areas of concern for the radiologist to review first.

04

Render

A real-time 3D engine reconstructs the volume so the clinician can rotate, slice and explore the anatomy — not just look at a frame.

The clinician's experience

A purpose-built interface for the imaging room.

Calm, dark, glanceable — designed for a quiet clinical environment, with alarm + system-ready states always visible.

System Ready startup screen
System Ready

Pre-flight check confirms software, hardware and scanner power-on before a scan can start.

Service configuration screen
Service Configuration

Service-mode controls — pulse length, framerate, transmit elements — for biomedical engineers, not clinicians.

Main scan interface
Live Scan

Dual-view live ultrasound with quick controls for power, magnet, record, freeze, save and probe selection.

Under the hood

A three-tier architecture, designed for the imaging room.

The architecture 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.

Device tier

The ultrasonic probe and the magnetic-excitation motor — driven by their native hardware libraries.

Acquisition tier

A Python data-acquisition layer with a state-machine and shared-memory model, exchanging frames over TCP / ZMQ.

Render tier

A real-time 3D engine (Unreal Engine 4) renders the volume — the same fidelity used in modern games, now in a clinical context.

Ultrasonic probe Maxon motor + magnet Python acquisition State machine TCP · ZMQ Computer Vision Unreal Engine 4
Three-tier architecture diagram
The three-tier service architecture — devices, Python acquisition, render UI — communicating via ZMQ on the data & image ports.
AI inside

Computer vision does the second look.

A trained vision pipeline runs alongside the live scan — sharpening the image, calling out anomalies, and giving the clinician a head-start.

Auto-highlight findings

Suspicious regions get a soft, non-intrusive overlay — never a final verdict, always a "look here" hint for the human.

Lower-latency imaging

Optimised vision pipelines compress the time from probe-to-pixel, keeping the live view responsive even under heavy scan loads.

Better visualisation

Noise reduction and contrast enhancement make subtle anatomy easier to read — without obscuring the underlying truth.

What it delivers

Better diagnostics, by design.

3D

Volumetric view

Replace 2D slices with a rotatable, sliceable 3D volume — explore anatomy the way clinicians actually think.

AI

Anomaly highlighting

Computer-vision pre-annotates regions of concern, so reading time is spent on judgement, not hunting.

↓

Reduced latency

Tight Python ↔ Unreal pipeline keeps live frames responsive — no "scan now, see later" friction.

▲

Earlier detection

Nano-particle excitation surfaces lesions and inflammations that conventional ultrasound can quietly miss.

⚙

Service-grade UI

Separate operator and service modes, always-visible alarm and system-ready states — built for clinical reality.

∞

Extensible probe set

The architecture welcomes new probes, new vision models and new render passes without touching the clinician's workflow.

Bring AI-assisted 3D imaging to your clinical workflow

Ready to give your clinicians a better view?

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.

Talk to a NeoSOFT Architect Back to AI Capability Showcase