October 15-16, 2020 | Leuven, Belgium

Mimics Innovation Course

The Mimics Innovation Suite (MIS) is the most versatile tool you need to construct a 3D model from medical image data, whether your end goal is to simulate and plan surgeries or to design patient-specific devices. The Suite also allows you to automate your workflows, potentially saving time while having more consistent results.

After the course, you will understand all of the latest enhancements, features and benefits so you can master the tools and apply them within your own organization.


This event has been canceled due to the current Covid-19 pandemic.

Intended Audience

This training is designed to be suitable for all levels of experience with the Mimics Innovation Suite, even if you are a beginner.



What will you learn during this training

  • Go from medical imaging data all the way to personalized 3D models
  • Design patient-specific devices or simulate and plan surgeries based on segmented anatomy

  • Speed up your workflow using automation features


  • Introduction to Mimics
  • Anatomy segmentation from medical image data
  • Introduction to 3-matic
  • Fixing and preparing 3D models for 3D printing
  • Planning and advanced measurements
  • Introduction to Design
  • What is new in Mimics Innovation Suite 23
  • Advanced segmentation
  • Preparing a model for FEA
  • Design for Patient-Specific Implants (PSI) for orthopedic applications (Design and Lattice)
  • Introduction to Scripting in MIS
  • What is new in Mimics Innovation Suite 23

Practical info

  • October 15-16, 2020
  • Materialise HQ | Leuven, Belgium




  • € 150 | 1 day
  • € 255 | 2 days

“Researching scoliosis with the spine in an upright position is extremely challenging. The spine has many vertebrae and between each are very complex joints. Achieving very precise segmentation was only possible with the Mimics Innovation Suite, as the software was able to recognize the contours of the CT slices.”
- Dr. Saša Ćuković, Postdoctoral Research Fellow in Biomechanics, ETH Zurich