Virtual surgery simulation for medical training using multi‐resolution organ models
Identifieur interne : 005779 ( Main/Merge ); précédent : 005778; suivant : 005780Virtual surgery simulation for medical training using multi‐resolution organ models
Auteurs : Jung Kim [Corée du Sud] ; Changmok Choi [Corée du Sud] ; Suvranu De [États-Unis] ; Mandayam A. Srinivasan [États-Unis]Source :
- The International Journal of Medical Robotics and Computer Assisted Surgery [ 1478-5951 ] ; 2007-06.
English descriptors
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 © 2007 John Wiley & Sons, Ltd.
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DOI: 10.1002/rcs.140
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<front><div type="abstract" xml:lang="en">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 © 2007 John Wiley & Sons, Ltd.</div>
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