Textures analysis

Quibim

Quibim has developed the Texture Analysis to quantify features related to the heterogeneity of the tissues and obtain texture parameters.
Product specifications Information source: Vendor
Last updated: May 17, 2020
General
Product name Textures analysis
Company Quibim
Subspeciality Neuro, MSK, Abdomen, Breast
Modality X-ray, CT, MR, PET, Ultrasound, SPECT
Disease targeted Solid tumors, Glioblastoma, Prostate cancer, Rectal cancer, Liver cancer, Breast cancer, Endometrial cancer, Osteoporosis, Osteopenia, Osteoarthritis, Sport-related diseases, Inflammatory diseases Degenerative diseases
Key-features Quantification, Radiomics, imaging biomarker discovery
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), Need to draw ROI
Data characteristics
Population For information on heterogeneity of tissues
Input
Input format
Output One-page structured report: statistical correlation of the cell populations (differentiation grades, proliferation and treatment response)
Output format DICOM Secondary Capture / PDF
Technology
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
Certification
CE
Certified, Class IIa , MDD
FDA
No or not yet
Market presence
On market since 01-2019
Distribution channels
Countries present (clinical, non-research use) 2
Paying clinical customers (institutes) 5+
Research/test users (institutes)
Pricing
Pricing model License
Based on Number of installations, Number of analyses
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers Carles M, Torres-Espallardo I, Alberich-Bayarri A, Olivas C, Bello P, NestleU, MartĂ­-BonmatĂ­ L. Evaluation of PET texture features with heterogeneous phantoms: complementarity and effect of motion and segmentation method. Phys Med Biol. 2017 Jan 21;62(2):652-668.