Fast arbitrary splitting of deforming objects
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
VR-Based Simulators for Training in Minimally Invasive Surgery
IEEE Computer Graphics and Applications
Arbitrary cutting of deformable tetrahedralized objects
SCA '07 Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
Hybrid simulation of deformable solids
SCA '07 Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
Virtual reality based simulation of hysteroscopic interventions
Presence: Teleoperators and Virtual Environments
Flexible simulation of deformable models using discontinuous Galerkin FEM
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Splitting meshless deforming objects with explicit surface tracking
Graphical Models
Dynamic local remeshing for elastoplastic simulation
ACM SIGGRAPH 2010 papers
Physics-based interactive volume manipulation for sharing surgical process
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Serial FEM/XFEM-based update of preoperative brain images using intraoperative MRI
Journal of Biomedical Imaging - Special issue on Mathematical Methods for Images and Surfaces 2011
Speeding up the simulation of deformable objects through mesh improvement
Computer Animation and Virtual Worlds
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A central training objective of virtual reality based surgical simulation is the removal of pathologic tissue. This necessitates stable, real-time updates of the underlying mesh representation. Within the framework of a hysteroscopy simulator, we have developed a hybrid cutting approach for tetrahedral meshes. It combines the topological update by subdivision with adjustments of the existing topology. Moreover, the mechanical and the visual model are decoupled, thus allowing different resolutions for the underlying mesh representations. With our method, we can closely approximate an arbitrary, user-defined cut surface while avoiding the creation of small or badly shaped elements, thus strongly reducing stability problems in the subsequent deformation computation. The presented approach has been integrated into a virtual reality training system for hysteroscopic interventions. The performance of the algorithm is demonstrated by examples of intra-uterine tumor ablations.