ClearRead CT - Vessel Suppress

Riverain Technologies
Riverain’s ClearRead CT Vessel Suppress is powered by machine learning and advanced modeling and suppresses vascular structures. The vessel suppression algorithm works with contrast and non-contrast scans, and operates on slices with section thickness up to 5mm.
Information source: Vendor
Last updated: April 19, 2022

General Information

Product name ClearRead CT - Vessel Suppress
Company Riverain Technologies
Subspeciality Chest
Modality CT
Disease targeted Lung cancer
Key-features Vessel suppression
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps)

Technical Specifications

Data characteristics
Population Adult population, not cleared for pediatric use.
Input Contrast and non-contrast chest CT, slices thickness up to 5mm
Input format DICOM
Output Vessels suppressed CT chest series registered to original series for synchronized scrolling/concurrent reading
Output format DICOM
Integration Integration in standard reading environment (PACS)
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker)
Trigger for analysis Configured per site settings to be automated based on conditions
Processing time 1 - 10 minutes


Certified, Class IIa , MDR
FDA 510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE) ClearRead CT is comprised of computer assisted reading tools designed to aid the radiologist in the detection of pulmonary nodules during review of CT examinations of the chest on an asymptomatic population. The ClearRead CT requires both lungs be in the field of view. ClearRead CT provides adjunctive information and is not intended to be used without the original CT series.


Market presence
On market since 11-2015
Distribution channels Nuance PIN, Sectra Amplifier Store, Aidoc aiOS, GE Healthcare Edison platform, Eureka Clinical AI Platform, Philips AI Marketplace, Agfa PACS, Blackford Marketplace, Fuji PACS, Change HC PACS, Calantic
Countries present (clinical, non-research use) Over 10
Paying clinical customers (institutes) Over 100
Research/test users (institutes)
Pricing model Subscription, One-time license fee
Based on Number of analyses


Peer reviewed papers on performance

  • Artificial intelligence-based vessel suppression for detection of sub-solid nodules in lung cancer screening computed tomography (read)

  • Vessel suppressed chest Computed Tomography for semi-automated volumetric measurements of solid pulmonary nodules (read)

  • JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function (read)

All papers are available here
Non-peer reviewed papers on performance Case Studies
Other relevant papers