Computed Ultrasound (CUS)

Handheld 3D imaging in 3 minutes

AI-powered handheld imaging that delivers submillimeter 3D scans, operated by trained healthcare assistants under registered sonographer supervision.

  • ✓ Handheld probe, no specialist equipment needed
  • ✓ Full 3D volume output in standard NIfTI format
  • ✓ Trained HCA acquisition under registered sonographer oversight
  • ✓ Non-medical device workflow tool following formal MHRA review
  • ✓ Works in clinics, rural settings, and field hospitals
See the 3D imaging Request a demo
CUS cardiac 3D scan
Cardiac Module Live 3D CUS scan
<3 min
Full 3D scan time vs 30–45 min for MRI
<1mm
Submillimeter voxel resolution
94%
Gross margin on a pure SaaS model
The problem

Diagnostics is broken

Patients wait weeks for MRI and CT appointments. Costs are prohibitive. Access requires specialist infrastructure that most of the world simply doesn't have.

Weeks

Waiting for answers

Patients wait weeks or months for MRI and CT scans. Anxiety builds, disease progresses, and outcomes worsen while queues grow.

£500+

Crushing scan costs

MRI costs £500–750 per scan. Machines cost £3M. Healthcare systems can't scale access fast enough to meet diagnostic demand.

Fixed

Infrastructure-bound

Specialist radiographers, shielded rooms, fixed infrastructure. Not available in GP clinics, rural areas, or emergency zones.

Capabilities

What makes CUS different

A complete rethink of how diagnostic imaging works, from the hardware to the workflow to the output format.

Handheld probe

Pairs with a standard smartphone. No trolleys, no fixed rooms. Pocket-sized and deployable in seconds anywhere a clinician goes.

AI reconstruction engine

Proprietary deep-learning algorithms reconstruct raw signals into high-fidelity 3D NIfTI volumes with submillimeter resolution in real time.

HCA-operated, clinician-supervised

Guided acquisition workflows enable trained HCAs to acquire images under registered sonographer supervision. All clinical interpretation and reporting is performed by qualified professionals.

3-minute turnaround

Same-day imaging pathways, at the point of care.

Works anywhere

No mains power, no shielded room, no capital infrastructure. GP clinics, rural posts, fertility centres, field hospitals.

Regulatory clarity

Following formal MHRA review (ref. CEC 179614), CUS is positioned as a non-medical device image acquisition workflow tool under UK MDR 2002.

3D Imaging

Live 3D scan outputs

CUS reconstructs full volumetric data in real time. These are direct outputs from the system: a before/after musculoskeletal pair showing structural change following physiotherapy.

CUS knee scan pre-physiotherapy Pre-physio

Knee, pre-physiotherapy

Baseline CUS scan showing soft-tissue and structural state of the knee joint prior to physiotherapy intervention showing posterior medial condyle effusion and lateral to the PCL effusion.

MSK module
CUS knee scan post-physiotherapy Post-physio

Knee, post-physiotherapy

Follow-up scan of the same patient after treatment, demonstrating resolution of both effusions as assessed by the reporting sonographer.

MSK module
Modules

Imaging modules

CUS uses a modular architecture. Each clinical application is a discrete AI model trained on validated datasets. Three modules are commercially live today, with 20+ in active development.

KUB
Prostate
TA Pelvis
Cardiac
Obstetric / Fetal
Hepatic / Liver
Thyroid
Musculoskeletal
Vascular
Abdominal Aorta
Lung / Pleural
+ 9 in pipeline

● Live  ○ In development

How It Works

From probe to report in 3 minutes

A four-step workflow designed for trained healthcare assistants operating under registered sonographer supervision.

1

Select module

Open the CUS app and select the relevant anatomical module. No configuration required. The AI handles the rest.

2

Guided acquisition

On-screen prompts guide probe placement. The AI tracks position in real time and confirms adequate anatomical coverage before proceeding.

3

AI reconstruction

Raw signals are processed through the CUS deep-learning engine, producing a full 3D NIfTI volume in under three minutes.

4

PACS transmission and clinical review

Images are transmitted to PACS. A registered sonographer reviews image quality, performs all clinical measurements, and produces the clinical report.

FAQ

Frequently asked questions

CUS reconstructs at submillimeter (under 1mm) voxel resolution. The AI reconstruction engine uses proprietary deep-learning to produce 3D volumetric data from standard ultrasound signals. In two independent clinical workflows, measurements taken by registered sonographers from CUS-acquired images showed strong agreement with measurements from conventionally acquired images.

CUS image acquisition is designed to be performed by a trained Healthcare Assistant (HCA) working under registered sonographer supervision. All HCAs complete a formal training programme including classroom instruction and supervised scans before operating independently. The guided acquisition workflow walks the operator through probe placement step by step. All clinical measurements and reporting are performed by registered professionals.

CUS outputs standard NIfTI (.nii.gz) format, the same format used by MRI and CT systems. NIfTI files open natively in 3D Slicer, ITK-SNAP, FSLeyes, and most PACS systems. There is no proprietary lock-in and no new software required for radiologist review.

Following formal MHRA review (ref. CEC 179614), CUS is positioned as a non-medical device image acquisition workflow tool under UK MDR 2002. CUS acquires and formats image data; all clinical measurements, interpretation, and reporting are performed by registered sonographers and radiologists. Three modules (KUB, Prostate, and TA Pelvis) are available for deployment.

The core AI reconstruction algorithms are protected as trade secrets. The competitive advantage lives in the model weights and training methodology, not the hardware, making it extremely difficult to reverse engineer even if the probe hardware were replicated.

Get in Touch

Ready to see CUS in action?

We're actively deploying across healthcare sites in the UK. Whether you want a demo, a partnership conversation, or have technical questions, we'd love to hear from you.

jason@carriertech.uk

Request a demo

Tell us about your setting and we'll arrange a live demonstration of the CUS system.