A Comparison of Some Model Order Reduction Methods for Fast Simulation of Soft Tissue Response using the Point Collocation-based Method of Finite Spheres (PCMFS)
Identifieur interne : 000F47 ( Pmc/Curation ); précédent : 000F46; suivant : 000F48A Comparison of Some Model Order Reduction Methods for Fast Simulation of Soft Tissue Response using the Point Collocation-based Method of Finite Spheres (PCMFS)
Auteurs : Suleiman Banihani ; Suvranu DeSource :
- Engineering with computers [ 0177-0667 ] ; 2009.
Abstract
In this paper we develop the Point Collocation-based Method of Finite Spheres (PCMFS) to simulate the viscoelastic response of soft biological tissues and evaluate the effectiveness of model order reduction methods such as modal truncation, Hankel optimal model and truncated balanced realization techniques for PCMFS. The PCMFS was developed in [
Url:
DOI: 10.1007/s00366-008-0103-4
PubMed: 20300494
PubMed Central: 2839461
Links toward previous steps (curation, corpus...)
- to stream Pmc, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000F47
Links to Exploration step
PMC:2839461Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Comparison of Some Model Order Reduction Methods for Fast Simulation of Soft Tissue Response using the Point Collocation-based Method of Finite Spheres (PCMFS)</title><author><name sortKey="Banihani, Suleiman" sort="Banihani, Suleiman" uniqKey="Banihani S" first="Suleiman" last="Banihani">Suleiman Banihani</name></author><author><name sortKey="De, Suvranu" sort="De, Suvranu" uniqKey="De S" first="Suvranu" last="De">Suvranu De</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">20300494</idno><idno type="pmc">2839461</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2839461</idno><idno type="RBID">PMC:2839461</idno><idno type="doi">10.1007/s00366-008-0103-4</idno><date when="2009">2009</date><idno type="wicri:Area/Pmc/Corpus">000F47</idno><idno type="wicri:Area/Pmc/Curation">000F47</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">A Comparison of Some Model Order Reduction Methods for Fast Simulation of Soft Tissue Response using the Point Collocation-based Method of Finite Spheres (PCMFS)</title><author><name sortKey="Banihani, Suleiman" sort="Banihani, Suleiman" uniqKey="Banihani S" first="Suleiman" last="Banihani">Suleiman Banihani</name></author><author><name sortKey="De, Suvranu" sort="De, Suvranu" uniqKey="De S" first="Suvranu" last="De">Suvranu De</name></author></analytic><series><title level="j">Engineering with computers</title><idno type="ISSN">0177-0667</idno><idno type="eISSN">1435-5663</idno><imprint><date when="2009">2009</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">In this paper we develop the Point Collocation-based Method of Finite Spheres (PCMFS) to simulate the viscoelastic response of soft biological tissues and evaluate the effectiveness of model order reduction methods such as modal truncation, Hankel optimal model and truncated balanced realization techniques for PCMFS. The PCMFS was developed in [<xref ref-type="bibr" rid="R1">1</xref>] as a physics-based technique for real time simulation of surgical procedures. It is a meshfree numerical method in which discretization is performed using a set of nodal points with approximation functions compactly supported on spherical subdomains centered at the nodes. The point collocation method is used as the weighted residual technique where the governing differential equations are directly applied at the nodal points. Since computational speed has a significant role in simulation of surgical procedures, model order reduction methods have been compared for relative gains in efficiency and computational accuracy. Of these methods, truncated balanced realization results in the highest accuracy while modal truncation results in the highest efficiency.</p></div></front></TEI><pmc article-type="research-article" xml:lang="EN"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">101511495</journal-id><journal-id journal-id-type="pubmed-jr-id">36133</journal-id><journal-id journal-id-type="nlm-ta">Eng Comput</journal-id><journal-title>Engineering with computers</journal-title><issn pub-type="ppub">0177-0667</issn><issn pub-type="epub">1435-5663</issn></journal-meta><article-meta><article-id pub-id-type="pmid">20300494</article-id><article-id pub-id-type="pmc">2839461</article-id><article-id pub-id-type="doi">10.1007/s00366-008-0103-4</article-id><article-id pub-id-type="manuscript">NIHMS89839</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>A Comparison of Some Model Order Reduction Methods for Fast Simulation of Soft Tissue Response using the Point Collocation-based Method of Finite Spheres (PCMFS)</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>BaniHani</surname><given-names>Suleiman</given-names></name></contrib><contrib contrib-type="author"><name><surname>De</surname><given-names>Suvranu</given-names></name></contrib><aff id="A1">Advanced Computational Research Laboratory, Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA</aff></contrib-group><pub-date pub-type="nihms-submitted"><day>8</day><month>8</month><year>2009</year></pub-date><pub-date pub-type="ppub"><day>1</day><month>1</month><year>2009</year></pub-date><pub-date pub-type="pmc-release"><day>16</day><month>3</month><year>2010</year></pub-date><volume>25</volume><issue>1</issue><fpage>37</fpage><lpage>47</lpage><abstract><p id="P1">In this paper we develop the Point Collocation-based Method of Finite Spheres (PCMFS) to simulate the viscoelastic response of soft biological tissues and evaluate the effectiveness of model order reduction methods such as modal truncation, Hankel optimal model and truncated balanced realization techniques for PCMFS. The PCMFS was developed in [<xref ref-type="bibr" rid="R1">1</xref>] as a physics-based technique for real time simulation of surgical procedures. It is a meshfree numerical method in which discretization is performed using a set of nodal points with approximation functions compactly supported on spherical subdomains centered at the nodes. The point collocation method is used as the weighted residual technique where the governing differential equations are directly applied at the nodal points. Since computational speed has a significant role in simulation of surgical procedures, model order reduction methods have been compared for relative gains in efficiency and computational accuracy. Of these methods, truncated balanced realization results in the highest accuracy while modal truncation results in the highest efficiency.</p></abstract><contract-num rid="EB1">R01 EB005807-03
||EB</contract-num><contract-sponsor id="EB1">National Institute of Biomedical Imaging and Bioengineering : NIBIB</contract-sponsor></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/Pmc/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000F47 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Pmc/Curation/biblio.hfd -nk 000F47 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= Pmc
|étape= Curation
|type= RBID
|clé= PMC:2839461
|texte= A Comparison of Some Model Order Reduction Methods for Fast Simulation of Soft Tissue Response using the Point Collocation-based Method of Finite Spheres (PCMFS)
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Curation/RBID.i -Sk "pubmed:20300494" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Curation/biblio.hfd \
| NlmPubMed2Wicri -a HapticV1
| This area was generated with Dilib version V0.6.23. |  |