Brain Voxel Based Morphometry (VBM)


QUIBIM has developed a noninvasive post-processing application to detect those brain regions that present statistical differences in their structure with respect to healthy subjects.
Product specifications Information source: Vendor
Last updated: March 10, 2020
Product name Brain Voxel Based Morphometry (VBM)
Company QUIBIM
Subspeciality Neuro
Modality MR
Disease targeted Brain atrophy, Alzheimer's
Key-features Main region volume, total volume, altered regions, Z- score
Suggested use Without interference of a radiologist: AI-only diagnosis
Data characteristics
Input MRI T1 GRE 3D T1 Fast Gradient Echo
Input format
Output One-page structured report: representative images, type of alteration, volume statistics
Output format DICOM Secondary Capture / PDF
Integration Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based, Hybrid solution
Trigger for analysis Automatically, right after the image acquisition
Processing time > 10 minutes
CE Certified, Class IIa
FDA No or not yet
Market presence
On market since 01-2019
Distribution channels
Countries present (clinical, non-research use) 8
Paying clinical customers (institutes) 5+
Research/test users (institutes) <5
Pricing model License
Based on Number of installations, Number of analyses
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers García-Martí, G. (2011). Aplicación, optimización e implantación de métodos morfométricos cuantitativos en el estudio de patologías del sistema nervioso central. Universidad Politécnica de Valencia.