Our CEST solution is now available in Olea Sphere® SP26 in research mode. It allows clinicians to process APT sequences and obtain maps with optimal resolution.
Chemical exchange saturation transfer (CEST) is a revolutionary molecular imaging technique on 3T scanners / MRIs that provides access to a whole spectrum of unique biomarkers.
Why considering CEST Imaging?
The key points of our CEST solution
This brand new App is meant to automate and simplify breast MR sreening. Our multi-vendor solution allows an easier and standardized morphological series review, the subtract series are automatically computed and displayed, as well as thin and thick MIP MPR series. Automated kinetic maps computation allows to automatically identify suspect tissue. The user has access in one click to various metrics: volume, maximum diameter, distance to skin, to chest and to nipple.
Texture Analysis makes it possible to use data that is invisible to the human eye at the marcoscopic level and to asses, for example, the heterogenity of a lesion. It is usable for all anatomies and imaging modalities (MRI, CT-Scan, PET-CT Scan, and PET MRI-Scan) and thus opens the way for AI and Radiomics.
Precise, efficient & reproducible Knee MRI Segmentation
Our Cartilage Segmentation plug-in off ers a fully automated solution to quickly and eff iciently segment knee cartilage to characterize potential tissue degeneration.
This new plug-in is fully embedded within our platform and works seamlessly with Olea Sphere® plug-ins.
Using T1 MR imaging, this application provides detailed and intuitive views of knee cartilage integrity and patient anatomy.
Read the Interviews with MS Ashley Williams and MD Mario Padron in our 4th Edition of Olea Imagein.
• 3D cartilage thickness rendering
• Automatic knee cartilage segmentation
• Segmentation of bones and cartilage surfaces
- Femur cartilage and bone
- Tibia cartilage and bone
- Patella cartilage and bone
• Viewer: load conventional series, T2 mapping, …
• Integrated within Olea Sphere®v3.0
• Intuitive environment
More information, here.
Develop your own post-processing applications
Thanks to our brand-new Software Development Kit (SDK), you can integrate your research whatever the language used (Java, Python, C, C++, MatLab, and more). Along our cutting-edge framework, we offer a starter kit with essential components
(UI & algorithms), already used and validated in Olea Medical’s various solutions. Therefore, using these existing libraries and focusing only on integrating your algorithms you will quickly have a testable and deployable application. Dicom reader, advanced post-processing algorithms, batch processing, viewer,
measurement and volume tools are some of the main available features on this unique platform.