e-CTA is a decision support software that uses algorithms, artificial intelligence and data analytics to automatically detect LVO and standardize the assessment of collaterals on CT angiography.

e-CTA supports single and multi-phase CTA and fully automates the CTA-CS collateral score supported by a color heat-map representing the difference in collaterals between hemispheres. e-CTA estimates phases of CTA image from automatic arterial input and venous output, and provides visualization of major vessels and the location of any detected LVO.
Information source: Vendor
Last updated: Feb. 18, 2024

General Information

Product name e-CTA
Company Brainomix
Subspeciality Neuro
Modality CT
Disease targeted Stroke
Key-features Collateral assessment, vessel occlusion detection, report generation
Suggested use

Technical Specifications

Data characteristics
Population Patients with suspicion of stroke
Input CT Angiography
Input format DICOM
Output Annotations, collateral score, draft report generation
Output format
Integration Integration in standard reading environment (PACS), Stand-alone third party application, Stand-alone webbased
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based, Hybrid solution
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time


Certified, Class IIa , MDD
FDA 510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)


Market presence
On market since 05-2018
Distribution channels Blackford, Calantic
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model
Based on


Peer reviewed papers on performance

  • Comparison of automated ASPECTS, large vessel occlusion detection and CTP analysis provided by Brainomix and RapidAI in patients with suspected ischaemic stroke (read)

  • Automated CT angiography collateral scoring in anterior large vessel occlusion stroke: A multireader study (read)

  • Diagnostic accuracy of automated occlusion detection in CT angiography using e-CTA (read)

Non-peer reviewed papers on performance

  • NHS press release: Artificial intelligence impact on NHS stroke care (read)

Other relevant papers