Paper Info
Title
Integration of a biomechanical simulation for mitral valve reconstruction into a knowledge-based surgery assistance system
Abstract
A mitral valve reconstruction (MVR) is a complex operation in which the functionality of incompetent mitral valves is re-established by applying surgical techniques. This work deals with predictive biomechanical simulations of operation scenarios for an MVR, and the simulation's integration into a knowledge-based surgery assistance system. We present a framework for the definition of the corresponding surgical workflow, which combines semantically enriched surgical expert knowledge with a biomechanical simulation. Using an ontology, 'surgical rules' which describe decision and assessment criteria for surgical decision-making are represented in a knowledge base. Through reasoning these 'rules' can then be applied on patient-specific data in order to be converted into boundary conditions for the biomechanical soft tissue simulation, which is based on the Finite Elements Method (FEM). The simulation, which is implemented in the open-source C++ FEM software HiFlow(3), is controlled via the Medical Simulation Markup Language (MSML), and makes use of High Performance Computing (HPC) methods to cope with real-time requirements in surgery. The simulation results are presented to surgeons to assess the quality of the virtual reconstruction and the consequential remedial effects on the mitral valve and its functionality. The whole setup has the potential to support the intraoperative decision-making process during MVR where the surgeon usually has to make fundamental decision under time pressure.
Year
DOI
Venue
2015
10.1117/12.2082153
Proceedings of SPIE
Keywords
Field
DocType
Biomechanical FEM Simulation,High Performance Computing (HPC),Surgical Reasoning,Surgery Assistance,Mitral Valve Modeling,Mitral Valve Simulation,Mitral Valve Reconstruction,Medical Simulation Markup Language (MSML),Integrated Biomechanical Simulation Framework
Medical simulation,Simulation,MSML,Finite element method,Software,Knowledge base,Surgery,Workflow,Mitral valve,Physics,Markup language
Conference
Volume
ISSN
Citations 
9415
0277-786X
2
PageRank 
References 
Authors
0.43
2
7
Name
Order
Citations
PageRank
Nicolai Schoch152.24
Sandy Engelhardt22913.14
norbert zimmermann351.32
Stefanie Speidel431339.70
Raffaele De Simone54117.95
Ivo Wolf673985.17
Vincent Heuveline717930.51