Body Diffusion Weighted Imaging (DWI) - ADC


QUIBIM has developed a noninvasive post-processing application designed to calculate the water molecules diffusivity in tissues. This module calculates ADC (Apparent Diffusion Coefficient) from two b-values diffusion MR imaging by applying the mono-exponential model of the diffusion signal. The diffusion coefficients (ADC) is decreased in regions with high cellularity and restricted intersticial space.
Product specifications Information source: Vendor
Last updated: March 10, 2020
Product name Body Diffusion Weighted Imaging (DWI) - ADC
Company QUIBIM
Subspeciality Abdomen, Breast
Modality MR
Disease targeted Solid tumors, Prostate cancer, Rectal cancer, Breast cancer, Multiple myeloma, Aggressive lymphoma
Key-features ADC Map, Histogram, Volume of smallest bvalue, values of ADC parameters
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand)
Data characteristics
Population Detecting changes in the microstructure of the tissue and performing early diagnosis and evaluation of treatment response
Input format
Output One-page structured report: ADC map, histogram, volumes corresponding to smallest and largest bvalue, 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 after drawing ROI
Processing time 1 - 10 minutes
Certified, Class IIa
No or not yet
Market presence
On market since 01-2019
Distribution channels
Countries present (clinical, non-research use) 10
Paying clinical customers (institutes) 5+
Research/test users (institutes) 15+
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 Martí-Bonmatí L, Ramírez-Fuentes C, Alberich-Bayarri Á, Ruiz-Llorca C. State-of-the-art of bone marrow imaging in multiple myeloma. Curr Opin Oncol. 2015 Nov; 27(6): 540-50.