Advancing Toward Patient-Specific Digital Twins for Better Liver Cancer Treatment

Segmentation and simulation shown in one workflow from the liver on the left and the injection on the right shown on a laptop screen.

About this webinar

The use of digital twins in healthcare is no longer a futuristic concept but a reality, showcasing its benefits in medical applications. Computational modeling and simulation (CM&S) is essential to this process, but a smooth workflow is needed to increase adoption in clinical practice. Liver cancer treatment can benefit from CM&S, especially with liver radioembolization, by optimizing injection parameters such as injection flow rate and injection position to maximize tumor dose. Join us to learn more about how digital twins and CM&S can help improve liver cancer treatment.

What you will learn

  • The challenges of liver cancer radioembolization
  • How CM&S can resolve some of these challenges and the results from the University of Ghent study 
  • What a smooth workflow looks like, with computational modeling carried out by Materialise and simulation done by Ansys
  • How this method could be applied to other medical fields


Thierry Marchal

Chief Technologist Healthcare for EMEA, Ansys

Tim Bomberna

PhD Fellow in Biomedical Engineering, University of Ghent

Karen De Leener

Cardiovascular Market Manager, Materialise

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Materialise medical device software may not be available in all markets because product availability is subject to the regulatory or medical practices in individual markets. In countries where no regulatory registration is obtained of Mimics or 3-matic Medical, a research version is available. Please contact your Materialise representative if you have questions about the availability of Materialise medical device software in your area.


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