Products
Companies
News
About
About
FAQ
Contact
Contact
Newsletter
×
Subscribe to our monthly newsletter
Subscribe
Products
icobrain cva
icobrain cva
icometrix
icobrain cva allows the automated quantitative assessment of tissue perfusion by:
- reporting the volume of core and perfusion lesion by quantifying Tmax abnormality and CBF abnormality together with the mismatch volume and ratio,
- providing an AIF/VOF graph with information on the correctness of the selected arterial input function and the quality of the report,
- providing insights into the perfusion state of the tissue through perfusion maps.
icobrain cva is a cloud-based solution, returning a report and perfusion maps into the PACS and e-mail inbox.
Information source:
Vendor
Last updated:
May 26, 2024
General Information
Technical Specifications
Regulatory
Market
Evidence
General Information
General
Product name
icobrain cva
Company
icometrix
Subspeciality
Neuro
Modality
CT
Disease targeted
Stroke
Key-features
Volume of core and perfusion lesion, mismatch ratio, perfusion maps, AIF/VOF graph
Suggested use
Before: flagging acute findings
During: perception aid (prompting all abnormalities/results/heatmaps)
Technical Specifications
Data characteristics
Population
all with suspicion of stroke
Input
CT perfusion
Input format
DICOM
Output
Color-coded segmentation overlays, concise reports with reference statistics.
Output format
DICOM
Technology
Integration
Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform
Deployment
Cloud-based
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
1 - 10 minutes
Regulatory
Certification
CE
Certified, Class IIa
, MDR
FDA
510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)
icobrain ct is intended for automatic labeling, visualization and volumetric quantification of segmentable brain structures from a set of computed tomography (CT) images. This software is intended to automate the current manual process of identifying, labeling and quantifying the volume of segmentable brain structures identified on CT images. The software can also be used to perform image processing, analysis, and communication of computed tomography perfusion (CTP) scans of the brain.
Market
Market presence
On market since
02-2020
Distribution channels
Blackford, GE Edison marketplace, Nuance PIN, Aidoc aiOS, Myrian
Countries present (clinical, non-research use)
23
Paying clinical customers (institutes)
> 300
Research/test users (institutes)
> 100
Pricing
Pricing model
Subscription
Based on
Number of analyses
Evidence
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning.
(read)
Other relevant papers
Abstract: Deep Learning Based Prediction of Tissue Status From Native CT Perfusion Images
(read)