Towards Cognition-Guided Patient-Specific FEM-Based Cardiac Surgery Simulation

  • Nicolai SchochEmail author
  • Vincent Heuveline
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10263)


Biomechanical surgery simulation can provide surgeons with useful ancillary information for intervention planning, diagnosis and therapy. The simulation therefore most importantly needs to be patient-specific, surgical knowledge-based and comprehensive in terms of the underlying simulation model and the patient’s data. Moreover, the simulation setup and execution should be largely automated and integrated into the surgical treatment workflow. However, this still rarely holds and simulation-based surgery support is not yet commonly established in the clinic. In this work, we address this problem in the context of cardiac surgery, and present the setup and results of a prototypic cognition-guided, patient-specific FEM-based cardiac surgery simulation system. We have designed a semantic data infrastructure and implemented cognitive software components that autonomously interact with the medical data via a common ontology. Using this setup, we anable the creation of knowledge-based, patient-specific surgery simulation scenarios for mitral valve reconstruction surgery, that are executed by means of the FEM simulation software HiFlow3. The obtained simulation results are provided to the surgeon in order to support surgical decision making.


Cognition-guidance Surgical information processing FEM surgery simulation Biomechanical modeling and simulation workflow Cardiac surgery Mitral valve reconstruction 



This work was carried out with the support of the German Research Foundation (DFG) in the framework of the Collaborative Research Center SFB/TRR 125 ‘Cognition-Guided Surgery’. We particularly thank our colleagues Sandy Engelhardt, Ivo Wolf (Institute of Informatics, University of Applied Science, Mannheim, Germany) and Raffaele de Simone (Department of Cardiac Surgery, University Hospital Heidelberg, Heidelberg, Germany) in the context of cardiac surgery and medical imaging, for the fruitful cooperation and for valuable explanations and discussions concerning our work. Also, we thank Patrick Philipp and York Sure-Vetter (Institute of Applied Informatics and Formal Description Methods (AIFB), Karlsruhe Institute of Technology, Karlsruhe, Germany) for the help and experience with respect to the cognitive semantic software and data infrastructure. We performed all simulations on the bwUniCluster, funded by the Ministry of Science, Research and the Arts Baden-Wuerttemberg and the Universities of the State of Baden-Wuerttemberg, Germany, within the framework program bwHPC.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Engineering Mathematics and Computing Lab (EMCL)Heidelberg UniversityHeidelbergGermany

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