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Virtual surgery simulation for medical training using multi-resolution organ models

Kim, J; Choi, C; De, S; Srinivasan, MA; (2007) Virtual surgery simulation for medical training using multi-resolution organ models. INT J MED ROBOT COMP , 3 (2) 149 - 158. 10.1002/rcs.140.

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Abstract

Background 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.Methods 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.Results 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.Conclusions The use of precomputation and structural re-analysis techniques results in a very rapid computation procedure. Validation of the simulator is in progress. Copyright (C) 2007 John Wiley & Sons, Ltd.

Type:Article
Title:Virtual surgery simulation for medical training using multi-resolution organ models
DOI:10.1002/rcs.140
Keywords:physically-based organ model, surgical simulation, real-time computation, SURGICAL SIMULATION, CHALLENGES, OBJECTS
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

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