Real-time finite element modeling for surgery simulation: an application to virtual suturing.
Identifieur interne : 002291 ( PubMed/Checkpoint ); précédent : 002290; suivant : 002292Real-time finite element modeling for surgery simulation: an application to virtual suturing.
Auteurs : Jeffrey Berkley [États-Unis] ; George Turkiyyah ; Daniel Berg ; Mark Ganter ; Suzanne WeghorstSource :
- IEEE transactions on visualization and computer graphics [ 1077-2626 ]
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Abstract
Real-time finite element (FE) analysis can be used to represent complex deformable geometries in virtual environments. The need for accurate surgical simulation has spurred the development of many of the new real-time FE methodologies that enable haptic support and real-time deformation. These techniques are computationally intensive and it has proved to be a challenge to achieve the high modeling resolutions required to accurately represent complex anatomies. The authors present a new real-time methodology based on linear FE analysis that is appropriate for a wide range of surgical simulation applications. A methodology is proposed that is characterized by high model resolution, low preprocessing time, unrestricted multipoint surface contact, and adjustable boundary conditions. These features make the method ideal for modeling suturing, which is an element common to almost every surgical procedure. This paper describes constraints in the context of a Suturing Simulator currently being developed by the authors.
DOI: 10.1109/TVCG.2004.1272730
PubMed: 18579962
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The need for accurate surgical simulation has spurred the development of many of the new real-time FE methodologies that enable haptic support and real-time deformation. These techniques are computationally intensive and it has proved to be a challenge to achieve the high modeling resolutions required to accurately represent complex anatomies. The authors present a new real-time methodology based on linear FE analysis that is appropriate for a wide range of surgical simulation applications. A methodology is proposed that is characterized by high model resolution, low preprocessing time, unrestricted multipoint surface contact, and adjustable boundary conditions. These features make the method ideal for modeling suturing, which is an element common to almost every surgical procedure. This paper describes constraints in the context of a Suturing Simulator currently being developed by the authors.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">18579962</PMID><DateCreated><Year>2008</Year><Month>06</Month><Day>26</Day></DateCreated><DateCompleted><Year>2008</Year><Month>07</Month><Day>31</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Print">1077-2626</ISSN><JournalIssue CitedMedium="Print"><Volume>10</Volume><Issue>3</Issue><PubDate><MedlineDate>2004 May-Jun</MedlineDate></PubDate></JournalIssue><Title>IEEE transactions on visualization and computer graphics</Title><ISOAbbreviation>IEEE Trans Vis Comput Graph</ISOAbbreviation></Journal><ArticleTitle>Real-time finite element modeling for surgery simulation: an application to virtual suturing.</ArticleTitle><Pagination><MedlinePgn>314-25</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1109/TVCG.2004.1272730</ELocationID><Abstract><AbstractText>Real-time finite element (FE) analysis can be used to represent complex deformable geometries in virtual environments. The need for accurate surgical simulation has spurred the development of many of the new real-time FE methodologies that enable haptic support and real-time deformation. These techniques are computationally intensive and it has proved to be a challenge to achieve the high modeling resolutions required to accurately represent complex anatomies. The authors present a new real-time methodology based on linear FE analysis that is appropriate for a wide range of surgical simulation applications. A methodology is proposed that is characterized by high model resolution, low preprocessing time, unrestricted multipoint surface contact, and adjustable boundary conditions. These features make the method ideal for modeling suturing, which is an element common to almost every surgical procedure. 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