cNeuro cMRI


cNeuro cMRI is a tool for quantitative assessment of MRI brain images. Volumes of 133 brain structures, as well as disease specific biomarkers are extracted from T1 images and white matter hyperintensities (WMH) are extracted from FLAIR images. Extracted information is compared to a normative database and deviations from normal are highlighted. cMRI can be used both for cross-sectional and longitudinal analysis. cNeuro cMRI results are sent back to PACS, but there is also an interactive viewer for exploring results.
Product specifications Information source: Vendor
Last updated: June 21, 2022
Product name cNeuro cMRI
Company Combinostics
Subspeciality Neuro
Modality MR
Disease targeted Neurological disorders
Key-features Brain region quantification (133 regions), vascular burden quantification, report generation, computed MTA, GCA and Fazekas scales, disease specific biomarkers
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion
Data characteristics
Population Dementia, MS or other diseases where analysis of atrophy or WMHs are of interest.
Input 3D T1 and 2D or 3D FLAIR (FLAIR is optional)
Input format DICOM
Output PDF reports and labelled T1 and FLAIR volumes
Output format DICOM and DICOM-PDF
Integration Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased
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 > 10 minutes
Certified, Class IIa , MDR
510(k) cleared, Class II
Market presence
On market since 01-2017
Distribution channels Siemens teamplay, Eureka Clinical AI, Tempus Pixel, Sectra Amplifier Store
Countries present (clinical, non-research use) 7 (new EU countries added)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Pay-per-use, Subscription
Based on Number of analyses
Peer reviewed papers on performance

  • Differential diagnosis of neurodegenerative diseases using structural MRI data (read)

  • Automatically computed rating scales from MRI for patients with cognitive disorders (read)

  • Detecting frontotemporal dementia syndromes using MRI biomarkers (read)

Non-peer reviewed papers on performance
Other relevant papers