An efficient and scalable deformable model for virtual reality-based medical applications.
Identifieur interne : 001A98 ( PubMed/Curation ); précédent : 001A97; suivant : 001A99An efficient and scalable deformable model for virtual reality-based medical applications.
Auteurs : Kup-Sze Choi [République populaire de Chine] ; Hanqiu Sun ; Pheng-Ann HengSource :
- Artificial intelligence in medicine [ 0933-3657 ] ; 2004.
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Abstract
Modeling of tissue deformation is of great importance to virtual reality (VR)-based medical simulations. Considerable effort has been dedicated to the development of interactively deformable virtual tissues. In this paper, an efficient and scalable deformable model is presented for virtual-reality-based medical applications. It considers deformation as a localized force transmittal process which is governed by algorithms based on breadth-first search (BFS). The computational speed is scalable to facilitate real-time interaction by adjusting the penetration depth. Simulated annealing (SA) algorithms are developed to optimize the model parameters by using the reference data generated with the linear static finite element method (FEM). The mechanical behavior and timing performance of the model have been evaluated. The model has been applied to simulate the typical behavior of living tissues and anisotropic materials. Integration with a haptic device has also been achieved on a generic personal computer (PC) platform. The proposed technique provides a feasible solution for VR-based medical simulations and has the potential for multi-user collaborative work in virtual environment.
DOI: 10.1016/j.artmed.2004.01.013
PubMed: 15350624
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Considerable effort has been dedicated to the development of interactively deformable virtual tissues. In this paper, an efficient and scalable deformable model is presented for virtual-reality-based medical applications. It considers deformation as a localized force transmittal process which is governed by algorithms based on breadth-first search (BFS). The computational speed is scalable to facilitate real-time interaction by adjusting the penetration depth. Simulated annealing (SA) algorithms are developed to optimize the model parameters by using the reference data generated with the linear static finite element method (FEM). The mechanical behavior and timing performance of the model have been evaluated. The model has been applied to simulate the typical behavior of living tissues and anisotropic materials. Integration with a haptic device has also been achieved on a generic personal computer (PC) platform. The proposed technique provides a feasible solution for VR-based medical simulations and has the potential for multi-user collaborative work in virtual environment.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">15350624</PMID><DateCreated><Year>2004</Year><Month>09</Month><Day>07</Day></DateCreated><DateCompleted><Year>2004</Year><Month>12</Month><Day>22</Day></DateCompleted><DateRevised><Year>2013</Year><Month>11</Month><Day>21</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0933-3657</ISSN><JournalIssue CitedMedium="Print"><Volume>32</Volume><Issue>1</Issue><PubDate><Year>2004</Year><Month>Sep</Month></PubDate></JournalIssue><Title>Artificial intelligence in medicine</Title><ISOAbbreviation>Artif Intell Med</ISOAbbreviation></Journal><ArticleTitle>An efficient and scalable deformable model for virtual reality-based medical applications.</ArticleTitle><Pagination><MedlinePgn>51-69</MedlinePgn></Pagination><Abstract><AbstractText>Modeling of tissue deformation is of great importance to virtual reality (VR)-based medical simulations. Considerable effort has been dedicated to the development of interactively deformable virtual tissues. In this paper, an efficient and scalable deformable model is presented for virtual-reality-based medical applications. It considers deformation as a localized force transmittal process which is governed by algorithms based on breadth-first search (BFS). The computational speed is scalable to facilitate real-time interaction by adjusting the penetration depth. Simulated annealing (SA) algorithms are developed to optimize the model parameters by using the reference data generated with the linear static finite element method (FEM). The mechanical behavior and timing performance of the model have been evaluated. The model has been applied to simulate the typical behavior of living tissues and anisotropic materials. Integration with a haptic device has also been achieved on a generic personal computer (PC) platform. The proposed technique provides a feasible solution for VR-based medical simulations and has the potential for multi-user collaborative work in virtual environment.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Choi</LastName><ForeName>Kup-Sze</ForeName><Initials>KS</Initials><AffiliationInfo><Affiliation>Department of Computer Science and Engineering, Chinese University of Hong Kong, New Territories, Hong Kong, China. kschoi1@cse.cuhk.edu.hk</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sun</LastName><ForeName>Hanqiu</ForeName><Initials>H</Initials></Author><Author ValidYN="Y"><LastName>Heng</LastName><ForeName>Pheng-Ann</ForeName><Initials>PA</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Artif Intell Med</MedlineTA><NlmUniqueID>8915031</NlmUniqueID><ISSNLinking>0933-3657</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D000465">Algorithms</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D001696">Biomechanical Phenomena</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D003198">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003238">Connective Tissue</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D008962">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012212">Rheology</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D014584">User-Computer Interface</DescriptorName></MeshHeading></MeshHeadingList><NumberOfReferences>41</NumberOfReferences></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2004</Year><Month>9</Month><Day>8</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2004</Year><Month>12</Month><Day>23</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="received"><Year>2003</Year><Month>Apr</Month><Day>1</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2003</Year><Month>Oct</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2004</Year><Month>Jan</Month><Day>17</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2004</Year><Month>9</Month><Day>8</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">15350624</ArticleId><ArticleId IdType="doi">10.1016/j.artmed.2004.01.013</ArticleId><ArticleId IdType="pii">S0933365704000363</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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