Skip to main content

With our new Application SDK, we can offer highly customizable solutions for business customers in the field of medical imaging. These range from image processing tasks using our new network processing module to fully customized workstation components. These can either be integrated into existing customer software or provided as stand-alone applications.

In addition, we offer various OEM image processing libraries for image segmentation, image registration and image processing tasks.


For Business customers

Developed for medical image processing

Highly Customizable

Single Processing tasks or fully customized wokrstation components

OEM image processing libraries

for image segmentation, image registration, and image processing tasks

  • Image Processing Framework
  • Multi-Threaded Execution Model
  • Hardware Backend Support (CPU, GPU)
  • Memory Management
  • Platform Independence
  • Visual Programming
  • Visual Profiler
  • Scripting Engine (Python)
  • C++ Plugin (API
  • X-ray Preprocessing
  • Image Postprocessing
  • Image Enhancement (MR, CT, X-Ray)
  • Rigid Registration
  • Non-Rigid Registration
  • Automatic Segmentation (Deep Learning)
  • Advanced Visualization (MPR, VRT)
  • Workflow Design
  • Workstation Customizing
  • Prototyping Support
  • Cost Effective Scalability
  • Flexible Hardware Configuration

SDK Components and Visual Programming Tool

Automated Segmentation

Our segmentation solutions are well suited for the segmentation of heterogeneous structures, such as tumors, and also for research purposes with animal imaging. The automatic image segmentation and annotation can be customized to specific applications, for example using organ presets.

Image Registration

Our image registration technologies allow to compensate for the patient motion between differetn image acquisitions, be it follow-up acquisitions or different imaging modalities (CT, MR, PET, SPECT, X-Ray)

For further information or if you like to request a demo please contact us here

Download Material