AI that measures and tracks tumors for you.

Click on a lesion on a CT scan anywhere in the body – iMeasure measures and segments it instantly, and tracks it across follow-up scans. Hours of manual work, done in minutes, with outputs you can rely on across readers, sites and timepoints.

Book a demo

How it works

One-click measurement
< 1s

to get two axial diameters on a selected lesion

2D segmentation performance 0.92

mean DICE on kidney lesions – strong across pancreas, lung and liver

Any organ, chest & abdomen 5+

organs supported: kidney, pancreas, liver, lung, lymph nodes

Integration 1 API

drops into any viewer, PACS or reading platform

The problem

Lesion tracking across the body is a tedious, manual and time consuming task.

Measurements are time-intensive and expert-dependent

Measuring target lesions and assessing changes over time takes specialised radiologist time – repeated across every follow-up scan.

Building measurement AI in-house is a distraction

Viewer and platform teams spend years building and validating segmentation models – instead of shipping the workflow their users actually pay for.

High inter- and intra-reader variability

RECIST 1.1 measurements are subjective. Different observers – or the same observer on different days – routinely disagree on the same lesion.

Measurements miss the full picture

Uni-dimensional measurements ignore tumour morphology, density and volume – losing signal that matters for response assessment.

The product

A promptable AI model for solid tumor evaluation, insights and tracking.

Lesion identification

One click in your viewer to indicate lesion location

Two axial measurements returned automatically in under a second

2D or 3D findings – any organ in the chest or abdomen

Longitudinal tracking

Registration-based matching follows the same lesion across baseline and follow-up scans

Consistent measurements at every timepoint – the foundation for reliable trend data

Dynamics, per-lesion history and multi-timepoint views render natively in your viewer’s finding and reporting workflow

RECIST-ready measurements

Standardised, reproducible measurements your RECIST 1.1 workflow can rely on

Target lesion sums, % change and response derivation supported by consistent inputs across readers and sites

Full automated RECIST 1.1 reporting available out of the box in BMViewer

Structured data out, on every call

All lesion metrics returned as structured data – ready for your reporting, archive or trial database

Annotated images stored on the fly

Available via API for any standard viewer; BMViewer available as an end-to-end option

Segmentation performance

Strong DICE scores across organs – and continuously improving.

2D performance

Kidneys

0.92

Pancreas

0.89

Lungs

0.82

Liver

0.78

Mean DICE. Subject to continuous improvement.

3D performance

Kidneys

0.85

Lungs

0.82

Pancreas

0.81

Liver

0.77

Lymph nodes

0.71

Mean DICE. Subject to continuous improvement.

Use cases

Built to be built in.

iMeasure is sold as an API, designed for the platforms radiologists already work in.

Clinical trial imaging platforms

Standardise RECIST 1.1 reads across sites and readers. Integrate iMeasure into the viewer your CRO customers’ radiologists use – consistent measurements feed your existing response-assessment workflow.

Viewer & PACS component providers

Add one-click lesion measurement and longitudinal tracking to your product – without building and validating an AI pipeline in-house.

Lung cancer screening platforms

Screening means heavy, repetitive reporting across many timepoints. Automated measurement and registration-based tracking cut the per-round reporting load where it’s largest.