CT Image Analysis Software - CT Runoff CTA

United Imaging Intelligence
The CT Runoff CTA application is intended to provide a tool for viewing, manipulating, and evaluating CTA images of lower extremities.
Lower Extremity Vessel Analysis
Information source: Vendor
Last updated: April 30, 2025

General Information

General
Product name CT Image Analysis Software - CT Runoff CTA
Company United Imaging Intelligence
Subspeciality Vascular
Modality CT
Disease targeted Plaque, stenosis, perforator flap selection
Key-features Reconstructed images (MPR/VR/MIP/Probe/CPR/SCPR), segmentation (bones/skin/lower extremity vessels), perforator vessels display
Suggested use During: interactive decision support (shows abnormalities/results only on demand)

Technical Specifications

Data characteristics
Population Adult patients (18–120 years). Contraindications are the same as for Runoff CTA, including iodine allergy, asthma, renal insufficiency, and severe cardiovascular conditions. Use with caution in case of: 1. Low artery contrast or delayed/early phase scans. 2. Metal implants or prostheses in the lower limbs. 3. Motion artifacts or poor image quality (e.g., low SNR, metal artifacts).
Input CTA
Input format DICOM
Output Reconstructed images (MPR/VR/MIP/Probe/CPR/SCPR), segmentation (bones/skin/lower extremity vessels)
Output format
Technology
Integration Stand-alone webbased
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis Automatically, right after the image acquisition
Processing time

Regulatory

Certification
CE
Certified, Class IIa , MDR
FDA 510(k) cleared
Intended Use Statements
Intended use (according to CE) The CT Runoff CTA application is intended to provide a tool for viewing, manipulating, and evaluating CTA images of lower extremities.

Market

Market presence
On market since
Distribution channels
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model Pay-per-use, subscription, one-time license fee
Based on Number of users, number of installations, number of analyses

Evidence

Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers