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• W2017004810 abstract "Real-time simulation of organ deformation is one of the biggest challenges in virtual surgery, due to the conflicting requirements of real-time interactivity and simulation realism. In this paper we propose a method to overcome this challenge by introducing a multi-resolution modelling technique.In our approach a reasonably coarse global model is locally enhanced, using a mesh subdivision and smoothing algorithm. The global model is based on a discretization of the boundary integral representation of three-dimensional deformable objects. Local refinements are provided at the tool-tissue interaction region by a local subdivision technique.As an example, we have developed a deformable human kidney model generated from the Visible Human Dataset, with tissue properties determined from in vivo animal experiments. A mixed reality laparoscopic surgical training system has been developed, using an abdominal mannequin and force feedback devices.The use of precomputation and structural re-analysis techniques results in a very rapid computation procedure. Validation of the simulator is in progress." @default.
• W2017004810 created "2016-06-24" @default.
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• W2017004810 date "2007-01-01" @default.
• W2017004810 modified "2023-10-06" @default.
• W2017004810 title "Virtual surgery simulation for medical training using multi-resolution organ models" @default.
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• W2017004810 doi "https://doi.org/10.1002/rcs.140" @default.
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