Vendor source

Reviewed 15 Jul 2026

Completeness Strong (64%)

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.

Supported by 5 papers

e-CTA thumbnail 1
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Key Features

  • Collateral assessment
  • Report generation
  • Vessel occlusion detection

General Information

Product name

e-CTA

Company

Modality

CT

Main task

Not specified

Subspeciality

Neuro

Disease targeted

Stroke

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Technical Specifications

Patient population age

Not specified

Input

CT Angiography

Input format

DICOM

Output

Annotations, collateral score, draft report generation

Output format

Not specified

Integration

Integration in standard reading environment (PACS), Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

Not specified

Population

Patients with suspicion of stroke

Market Presence

On market since

05-2018

AI Platforms

Blackford Analysis, Philips Healthcare

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Not specified

Source: Vendor | First published: Feb 18, 2024 | Last updated: Jul 15, 2026