DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jung | ko |
dc.contributor.author | Choi, C | ko |
dc.contributor.author | De, S | ko |
dc.contributor.author | Srinivasan, MA | ko |
dc.date.accessioned | 2013-03-07T03:56:45Z | - |
dc.date.available | 2013-03-07T03:56:45Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2007-06 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY, v.3, pp.149 - 158 | - |
dc.identifier.issn | 1478-5951 | - |
dc.identifier.uri | http://hdl.handle.net/10203/89343 | - |
dc.description.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. | - |
dc.language | English | - |
dc.publisher | JOHN WILEY & SONS INC | - |
dc.subject | SURGICAL SIMULATION | - |
dc.subject | CHALLENGES | - |
dc.subject | OBJECTS | - |
dc.title | Virtual surgery simulation for medical training using multi-resolution organ models | - |
dc.type | Article | - |
dc.identifier.wosid | 000248396800008 | - |
dc.identifier.scopusid | 2-s2.0-34547598038 | - |
dc.type.rims | ART | - |
dc.citation.volume | 3 | - |
dc.citation.beginningpage | 149 | - |
dc.citation.endingpage | 158 | - |
dc.citation.publicationname | INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY | - |
dc.identifier.doi | 10.1002/rcs.140 | - |
dc.contributor.localauthor | Kim, Jung | - |
dc.contributor.nonIdAuthor | Choi, C | - |
dc.contributor.nonIdAuthor | De, S | - |
dc.contributor.nonIdAuthor | Srinivasan, MA | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | physically-based organ model | - |
dc.subject.keywordAuthor | surgical simulation | - |
dc.subject.keywordAuthor | real-time computation | - |
dc.subject.keywordPlus | SURGICAL SIMULATION | - |
dc.subject.keywordPlus | CHALLENGES | - |
dc.subject.keywordPlus | OBJECTS | - |
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