Integration of a Multigrid ODE Solver into an Open Medical Simulation Framework
Identifieur interne : 002474 ( Ncbi/Merge ); précédent : 002473; suivant : 002475Integration of a Multigrid ODE Solver into an Open Medical Simulation Framework
Auteurs : Xunlei Wu ; Jianhua Yao ; Andinet Enquobahrie ; Huai-Ping Lee ; Michel A. AudetteSource :
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [ 1557-170X ] ; 2012.
Abstract
In this paper, we present the implementation of a Multigrid ODE solver in SOFA framework. By combining the stability advantage of coarse meshes and the transient detail preserving virtue of fine meshes, Multigrid ODE solver computes more efficiently than classic ODE solvers based on a single level discretization. With the ever wider adoption of the SOFA framework in many surgical simulation projects, introducing this Multigrid ODE solver into SOFA’s pool of ODE solvers shall benefit the entire community. This contribution potentially has broad ramifications in the surgical simulation research community, given that in a single-resolution system, a constitutively realistic interactive tissue response, which presupposes large elements, is in direct conflict with the need to represent clinically relevant critical tissues in the simulation, which are typically be comprised of small elements.
Url:
DOI: 10.1109/EMBC.2012.6346617
PubMed: 23366578
PubMed Central: 4139919
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PMC:4139919Le document en format XML
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<author><name sortKey="Wu, Xunlei" sort="Wu, Xunlei" uniqKey="Wu X" first="Xunlei" last="Wu">Xunlei Wu</name>
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<author><name sortKey="Yao, Jianhua" sort="Yao, Jianhua" uniqKey="Yao J" first="Jianhua" last="Yao">Jianhua Yao</name>
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<author><name sortKey="Lee, Huai Ping" sort="Lee, Huai Ping" uniqKey="Lee H" first="Huai-Ping" last="Lee">Huai-Ping Lee</name>
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<front><div type="abstract" xml:lang="en"><p id="P1">In this paper, we present the implementation of a Multigrid ODE solver in SOFA framework. By combining the stability advantage of coarse meshes and the transient detail preserving virtue of fine meshes, Multigrid ODE solver computes more efficiently than classic ODE solvers based on a single level discretization. With the ever wider adoption of the SOFA framework in many surgical simulation projects, introducing this Multigrid ODE solver into SOFA’s pool of ODE solvers shall benefit the entire community. This contribution potentially has broad ramifications in the surgical simulation research community, given that in a single-resolution system, a constitutively realistic interactive tissue response, which presupposes large elements, is in direct conflict with the need to represent clinically relevant critical tissues in the simulation, which are typically be comprised of small elements.</p>
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<contrib-group><contrib contrib-type="author"><name><surname>Wu</surname>
<given-names>Xunlei</given-names>
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<email>andinet.enqu@kitware.com</email>
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<email>huaiping.lee@kitware.com</email>
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<aff id="A1"><label>3</label>
Employed by Kitware</aff>
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Dept. of Modeling, Simulation and Visualization Engineering, Old Dominion University, Norfolk, VA, 23529</aff>
<author-notes><fn id="FN1" fn-type="current-aff"><label>1</label>
<p> X. Wu is currently employed at SAS, Cary, NC. His email address is <email>xunlei.wu@sas.com</email>
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<fn id="FN2" fn-type="current-aff"><label>2</label>
<p>J. Yao is currently employed at RAD&IS at NIH. His email address is <email>jyao@cc.nih.gov</email>
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<pub-date pub-type="nihms-submitted"><day>25</day>
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<volume>2012</volume>
<fpage>3090</fpage>
<lpage>3093</lpage>
<pmc-comment>elocation-id from pubmed: 10.1109/EMBC.2012.6346617</pmc-comment>
<abstract><p id="P1">In this paper, we present the implementation of a Multigrid ODE solver in SOFA framework. By combining the stability advantage of coarse meshes and the transient detail preserving virtue of fine meshes, Multigrid ODE solver computes more efficiently than classic ODE solvers based on a single level discretization. With the ever wider adoption of the SOFA framework in many surgical simulation projects, introducing this Multigrid ODE solver into SOFA’s pool of ODE solvers shall benefit the entire community. This contribution potentially has broad ramifications in the surgical simulation research community, given that in a single-resolution system, a constitutively realistic interactive tissue response, which presupposes large elements, is in direct conflict with the need to represent clinically relevant critical tissues in the simulation, which are typically be comprised of small elements.</p>
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<name sortKey="Lee, Huai Ping" sort="Lee, Huai Ping" uniqKey="Lee H" first="Huai-Ping" last="Lee">Huai-Ping Lee</name>
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<name sortKey="Yao, Jianhua" sort="Yao, Jianhua" uniqKey="Yao J" first="Jianhua" last="Yao">Jianhua Yao</name>
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