Real-time haptic cutting of high-resolution soft tissues.
Identifieur interne : 000684 ( PubMed/Corpus ); précédent : 000683; suivant : 000685Real-time haptic cutting of high-resolution soft tissues.
Auteurs : Jun Wu ; Rüdiger Westermann ; Christian DickSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2014.
Abstract
We present our systematic efforts in advancing the computational performance of physically accurate soft tissue cutting simulation, which is at the core of surgery simulators in general. We demonstrate a real-time performance of 15 simulation frames per second for haptic soft tissue cutting of a deformable body at an effective resolution of 170,000 finite elements. This is achieved by the following innovative components: (1) a linked octree discretization of the deformable body, which allows for fast and robust topological modifications of the simulation domain, (2) a composite finite element formulation, which thoroughly reduces the number of simulation degrees of freedom and thus enables to carefully balance simulation performance and accuracy, (3) a highly efficient geometric multigrid solver for solving the linear systems of equations arising from implicit time integration, (4) an efficient collision detection algorithm that effectively exploits the composition structure, and (5) a stable haptic rendering algorithm for computing the feedback forces. Considering that our method increases the finite element resolution for physically accurate real-time soft tissue cutting simulation by an order of magnitude, our technique has a high potential to significantly advance the realism of surgery simulators.
PubMed: 24732558
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Real-time haptic cutting of high-resolution soft tissues.</title><author><name sortKey="Wu, Jun" sort="Wu, Jun" uniqKey="Wu J" first="Jun" last="Wu">Jun Wu</name><affiliation><nlm:affiliation>Computer Graphics & Visualization Group, Technische Universität München, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Westermann, Rudiger" sort="Westermann, Rudiger" uniqKey="Westermann R" first="Rüdiger" last="Westermann">Rüdiger Westermann</name><affiliation><nlm:affiliation>Computer Graphics & Visualization Group, Technische Universität München, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Dick, Christian" sort="Dick, Christian" uniqKey="Dick C" first="Christian" last="Dick">Christian Dick</name><affiliation><nlm:affiliation>Computer Graphics & Visualization Group, Technische Universität München, Germany.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:24732558</idno><idno type="pmid">24732558</idno><idno type="wicri:Area/PubMed/Corpus">000684</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Real-time haptic cutting of high-resolution soft tissues.</title><author><name sortKey="Wu, Jun" sort="Wu, Jun" uniqKey="Wu J" first="Jun" last="Wu">Jun Wu</name><affiliation><nlm:affiliation>Computer Graphics & Visualization Group, Technische Universität München, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Westermann, Rudiger" sort="Westermann, Rudiger" uniqKey="Westermann R" first="Rüdiger" last="Westermann">Rüdiger Westermann</name><affiliation><nlm:affiliation>Computer Graphics & Visualization Group, Technische Universität München, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Dick, Christian" sort="Dick, Christian" uniqKey="Dick C" first="Christian" last="Dick">Christian Dick</name><affiliation><nlm:affiliation>Computer Graphics & Visualization Group, Technische Universität München, Germany.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Studies in health technology and informatics</title><idno type="ISSN">0926-9630</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We present our systematic efforts in advancing the computational performance of physically accurate soft tissue cutting simulation, which is at the core of surgery simulators in general. We demonstrate a real-time performance of 15 simulation frames per second for haptic soft tissue cutting of a deformable body at an effective resolution of 170,000 finite elements. This is achieved by the following innovative components: (1) a linked octree discretization of the deformable body, which allows for fast and robust topological modifications of the simulation domain, (2) a composite finite element formulation, which thoroughly reduces the number of simulation degrees of freedom and thus enables to carefully balance simulation performance and accuracy, (3) a highly efficient geometric multigrid solver for solving the linear systems of equations arising from implicit time integration, (4) an efficient collision detection algorithm that effectively exploits the composition structure, and (5) a stable haptic rendering algorithm for computing the feedback forces. Considering that our method increases the finite element resolution for physically accurate real-time soft tissue cutting simulation by an order of magnitude, our technique has a high potential to significantly advance the realism of surgery simulators.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="In-Data-Review"><PMID Version="1">24732558</PMID><DateCreated><Year>2014</Year><Month>04</Month><Day>15</Day></DateCreated><Article PubModel="Print"><Journal><ISSN IssnType="Print">0926-9630</ISSN><JournalIssue CitedMedium="Internet"><Volume>196</Volume><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>Studies in health technology and informatics</Title><ISOAbbreviation>Stud Health Technol Inform</ISOAbbreviation></Journal><ArticleTitle>Real-time haptic cutting of high-resolution soft tissues.</ArticleTitle><Pagination><MedlinePgn>469-75</MedlinePgn></Pagination><Abstract><AbstractText>We present our systematic efforts in advancing the computational performance of physically accurate soft tissue cutting simulation, which is at the core of surgery simulators in general. We demonstrate a real-time performance of 15 simulation frames per second for haptic soft tissue cutting of a deformable body at an effective resolution of 170,000 finite elements. This is achieved by the following innovative components: (1) a linked octree discretization of the deformable body, which allows for fast and robust topological modifications of the simulation domain, (2) a composite finite element formulation, which thoroughly reduces the number of simulation degrees of freedom and thus enables to carefully balance simulation performance and accuracy, (3) a highly efficient geometric multigrid solver for solving the linear systems of equations arising from implicit time integration, (4) an efficient collision detection algorithm that effectively exploits the composition structure, and (5) a stable haptic rendering algorithm for computing the feedback forces. Considering that our method increases the finite element resolution for physically accurate real-time soft tissue cutting simulation by an order of magnitude, our technique has a high potential to significantly advance the realism of surgery simulators.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Wu</LastName><ForeName>Jun</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Computer Graphics & Visualization Group, Technische Universität München, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Westermann</LastName><ForeName>Rüdiger</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Computer Graphics & Visualization Group, Technische Universität München, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dick</LastName><ForeName>Christian</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Computer Graphics & Visualization Group, Technische Universität München, Germany.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Stud Health Technol Inform</MedlineTA><NlmUniqueID>9214582</NlmUniqueID><ISSNLinking>0926-9630</ISSNLinking></MedlineJournalInfo><CitationSubset>T</CitationSubset></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>4</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>4</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>4</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">24732558</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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