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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Srinivasan</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:CC43021418B00F13D16E58612DEBDE74B372908C</idno><date when="2007" year="2007">2007</date><idno type="doi">10.1002/rcs.140</idno><idno type="url">https://api.istex.fr/document/CC43021418B00F13D16E58612DEBDE74B372908C/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">002E26</idno><idno type="wicri:Area/Istex/Curation">002E26</idno><idno type="wicri:Area/Istex/Checkpoint">001756</idno><idno type="wicri:doubleKey">1478-5951:2007:Kim J:virtual:surgery:simulation</idno><idno type="wicri:Area/Main/Merge">005779</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Virtual surgery simulation for medical training using multi‐resolution organ models</title><author><name sortKey="Kim, Jung" sort="Kim, Jung" uniqKey="Kim J" first="Jung" last="Kim">Jung Kim</name><affiliation wicri:level="1"><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>School of Mechanical, Aerospace and Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon</wicri:regionArea><wicri:noRegion>Daejeon</wicri:noRegion></affiliation></author><author><name sortKey="Choi, Changmok" sort="Choi, Changmok" uniqKey="Choi C" first="Changmok" last="Choi">Changmok Choi</name><affiliation wicri:level="1"><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>School of Mechanical, Aerospace and Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon</wicri:regionArea><wicri:noRegion>Daejeon</wicri:noRegion></affiliation></author><author><name sortKey="De, Suvranu" sort="De, Suvranu" uniqKey="De S" first="Suvranu" last="De">Suvranu De</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY</wicri:regionArea><placeName><region type="state">État de New York</region></placeName></affiliation></author><author><name sortKey="Srinivasan, Mandayam A" sort="Srinivasan, Mandayam A" uniqKey="Srinivasan M" first="Mandayam A." last="Srinivasan">Mandayam A. Srinivasan</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Massachusetts Institute of Technology, Cambridge, MA</wicri:regionArea><placeName><region type="state">Massachusetts</region></placeName></affiliation></author></analytic><monogr></monogr><series><title level="j">The International Journal of Medical Robotics and Computer Assisted Surgery</title><title level="j" type="abbrev">Int. J. Med. Robotics Comput. Assist. Surg.</title><idno type="ISSN">1478-5951</idno><idno type="eISSN">1478-596X</idno><imprint><publisher>John Wiley & Sons, Ltd.</publisher><pubPlace>Chichester, UK</pubPlace><date type="published" when="2007-06">2007-06</date><biblScope unit="volume">3</biblScope><biblScope unit="issue">2</biblScope><biblScope unit="page" from="149">149</biblScope><biblScope unit="page" to="158">158</biblScope></imprint><idno type="ISSN">1478-5951</idno></series><idno type="istex">CC43021418B00F13D16E58612DEBDE74B372908C</idno><idno type="DOI">10.1002/rcs.140</idno><idno type="ArticleID">RCS140</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1478-5951</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>physically‐based organ model</term><term>real‐time computation</term><term>surgical simulation</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><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></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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