| General |
| Product name |
IB Delta Suite |
| Company |
Imaging Biometrics |
| Subspeciality |
Neuro |
| Modality |
MR |
| Disease targeted |
Neuro lesions |
| Key-features |
Image standardization, Delta T1 maps |
| Suggested use |
|
| Data characteristics |
| Population |
Neuro exams |
| Input |
T1-weighted, pre- and post-contrast images |
| Input format |
DICOM |
| Output |
Quantitative Delta T1 maps |
| Output format |
DICOM (RGB and monochrome) |
| Technology |
| Integration |
Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application |
| Deployment |
Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Hybrid solution, multiple channel partners |
| Trigger for analysis |
Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc. |
| Processing time |
< 3 sec |
| Certification |
| CE |
Certified, Class I
|
| FDA |
510(k) cleared, Class II
|
| Market presence |
| On market since |
01-2013 |
| Distribution channels |
Eureka Clinical AI, QMENTA, Blackford Analysis, Medimsight, CorTechs Labs, aycan Medical Systems, Pixmeo |
| Countries present (clinical, non-research use) |
|
| Paying clinical customers (institutes) |
|
| Research/test users (institutes) |
|
| Pricing |
| Pricing model |
Pay-per-use, Subscription, Traditional license (upfront payment plus annual maintenance) |
| Based on |
Number of users, Number of installations, Number of analyses |
| Evidence |
| Peer reviewed papers on performance |
- Quantitative Delta T1 (dT1) as a Replacement for Adjudicated Central Reader Analysis of Contrast-Enhancing Tumor Burden: A Subanalysis of the American College of Radiology Imaging Network (read)
|
| Non-peer reviewed papers on performance |
|
| Other relevant papers |
|
