White Matter Lesions- demyelination


QUIBIM has developed a noninvasive post-processing application designed to automatically calculate the volume of white matter and quantify the present lesions. The software allows to calculate the volume of lesion, the area of lesion and its dissemination. The method is based on a lesion detection routine.
Product specifications Information source: Vendor
Last updated: March 10, 2020
Product name White Matter Lesions- demyelination
Company QUIBIM
Subspeciality Neuro
Modality MR
Disease targeted Alzheimer's disease, focal epilepsy, frontotemporal dementia, Parkinson's disease, migraine, multiple sclerosis, amyotrophic lateral sclerosis, dementia, stroke, psychiatric disorder, traumatic brain injury
Key-features Lesion volume, Lesion count, Entropy, dissemination
Suggested use Without interference of a radiologist: AI-only diagnosis
Data characteristics
Input format
Output One-page structured report: brain slices with high lesion volume, lesion statistics summary
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
Certified, Class IIa
No or not yet
Market presence
On market since 01-2019
Distribution channels
Countries present (clinical, non-research use) 6
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 Magraner MJ, Bosca I, Simó-Castelló M, García-Martí G, Alberich-Bayarri A, Coret F, Alvarez-Cermeño JC, Martí-Bonmatí L, Villar LM, Casanova B. Brain atrophy and lesion load are related to CSF lipid-specific IgM oligoclonal bands in clinically isolated syndromes. Neuroradiology. 2012 Jan; 54(1): 5-12.