VESALIO NeVa Thrombectomy-Systems



NeVa™ is engineered for stroke intervention. Its DROP ZONE™ technology captures ALL clot types, including harder, resistant ones which elude conventional stent retrievers.





When a blood clot blocks flow in the brain, imminent tissue death is avoidable only if the blockage is quickly and effectively resolved.


Clots vary in density, size, and composition. Adding to the challenge, physicians cannot ascertain clot type before an intervention.


NeVa™ ALL CLOTS CAPABILITY brings substantial advantages to physicians and patients in thrombectomy procedures.



Drop Zones dynamically change clot interaction by capturing thrombi inside the device instead of relying on penetration of clot and subsequent pin and drag along the artery wall.

Each Drop Zone provides an additional opportunity to secure clot during the procedure.




What do we know about clots and how stent-retrievers interact with clots? What are the challenges we face? What does the NeVa device offer to deal with the challenges? What is our experience in London?

Dr. Paul Bhogal – London

CEST (Chemical Exchange Saturation Transfer) imaging


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?

  • Using the process of continuous re-saturation and proton exchange, CEST can enhance the detection of certain metabolites that can be found in the human body, whose concentration would not be sufficient for being detected by the classic MR imaging sequences. Their detectability is for example amplified by a factor of 100, if this exchange takes places 100 times.
  • Amide proton transfer (APT) is the most widely used endogenous CEST imaging method to date. With the term "endogenous" it is meant that the signal of interest comes directly from metabolites already present in the human body. Therefore, this technique does not require the injection of contrast agents, making it a safe technique for the patient.


The key points of our CEST solution

  • The focus is currently on the characterization of brain tumors. Using the spatial assessment of proteins and peptides in vivo, the technique can help predict the grade of gliomas as well as the IDH-mutational status. The method can be applied to other brain pathologies and to other types of cancer in other organs.
  • This contrast-free technique, safe and promising, for clinical use, allows also to save time during the acquisition of MRI images.



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.  

Cartilage Segmentation

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.


Key features:


• 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

Software Development Kit

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.