Development of in vivo constitutive models for liver: application to surgical simulation.
Identifieur interne : 000F88 ( PubMed/Curation ); précédent : 000F87; suivant : 000F89Development of in vivo constitutive models for liver: application to surgical simulation.
Auteurs : Kevin Lister [États-Unis] ; Zhan Gao ; Jaydev P. DesaiSource :
- Annals of biomedical engineering [ 1573-9686 ] ; 2011.
English descriptors
- KwdEn :
- MESH :
- methods : Hepatectomy, Surgery, Computer-Assisted.
- physiology : Elastic Modulus, Hardness, Liver.
- surgery : Liver.
- Computer Simulation, Humans, Models, Biological, Stress, Mechanical.
Abstract
Advancements in real-time surgical simulation techniques have provided the ability to utilize more complex nonlinear constitutive models for biological tissues which result in increased haptic and graphic accuracy. When developing such a model, verification is necessary to determine the accuracy of the force response as well as the magnitude of tissue deformation for tool-tissue interactions. In this study, we present an experimental device which provides the ability to obtain force-displacement information as well as surface deformation of porcine liver for in vivo probing tasks. In addition, the system is capable of accurately determining the geometry of the liver specimen. These combined attributes provide the context required to simulate the experiment with accurate boundary conditions, whereby the only variable in the analysis is the material properties of the liver specimen. During the simulation, effects of settling due to gravity have been taken into account by a technique which incorporates the proper internal stress conditions in the model without altering the geometry. Initially, an Ogden model developed from ex vivo tension and compression experimentation is run through the simulation to determine the efficacy of utilizing an ex vivo model for simulation of in vivo probing tasks on porcine liver. Subsequently, a method for improving upon the ex vivo model was developed using different hyperelastic models such that increased accuracy could be achieved for the force characteristics compared to the displacement characteristics, since changes in the force variation would be more perceptible to a user in the simulation environment, while maintaining a high correlation with the surface displacement data. Furthermore, this study also presents the probing simulation which includes the capsule surrounding the liver.
DOI: 10.1007/s10439-010-0227-8
PubMed: 21161684
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Development of in vivo constitutive models for liver: application to surgical simulation.</title><author><name sortKey="Lister, Kevin" sort="Lister, Kevin" uniqKey="Lister K" first="Kevin" last="Lister">Kevin Lister</name><affiliation wicri:level="1"><nlm:affiliation>Robotics, Automation, and Medical Systems Laboratory, Maryland Robotics Center, Institute for Systems Research, Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA. klister@umd.edu</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Robotics, Automation, and Medical Systems Laboratory, Maryland Robotics Center, Institute for Systems Research, Department of Mechanical Engineering, University of Maryland, College Park, MD 20742</wicri:regionArea></affiliation></author><author><name sortKey="Gao, Zhan" sort="Gao, Zhan" uniqKey="Gao Z" first="Zhan" last="Gao">Zhan Gao</name></author><author><name sortKey="Desai, Jaydev P" sort="Desai, Jaydev P" uniqKey="Desai J" first="Jaydev P" last="Desai">Jaydev P. 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Desai</name></author></analytic><series><title level="j">Annals of biomedical engineering</title><idno type="eISSN">1573-9686</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Computer Simulation</term><term>Elastic Modulus (physiology)</term><term>Hardness (physiology)</term><term>Hepatectomy (methods)</term><term>Humans</term><term>Liver (physiology)</term><term>Liver (surgery)</term><term>Models, Biological</term><term>Stress, Mechanical</term><term>Surgery, Computer-Assisted (methods)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Hepatectomy</term><term>Surgery, Computer-Assisted</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Elastic Modulus</term><term>Hardness</term><term>Liver</term></keywords><keywords scheme="MESH" qualifier="surgery" xml:lang="en"><term>Liver</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Computer Simulation</term><term>Humans</term><term>Models, Biological</term><term>Stress, Mechanical</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Advancements in real-time surgical simulation techniques have provided the ability to utilize more complex nonlinear constitutive models for biological tissues which result in increased haptic and graphic accuracy. When developing such a model, verification is necessary to determine the accuracy of the force response as well as the magnitude of tissue deformation for tool-tissue interactions. In this study, we present an experimental device which provides the ability to obtain force-displacement information as well as surface deformation of porcine liver for in vivo probing tasks. In addition, the system is capable of accurately determining the geometry of the liver specimen. These combined attributes provide the context required to simulate the experiment with accurate boundary conditions, whereby the only variable in the analysis is the material properties of the liver specimen. During the simulation, effects of settling due to gravity have been taken into account by a technique which incorporates the proper internal stress conditions in the model without altering the geometry. Initially, an Ogden model developed from ex vivo tension and compression experimentation is run through the simulation to determine the efficacy of utilizing an ex vivo model for simulation of in vivo probing tasks on porcine liver. Subsequently, a method for improving upon the ex vivo model was developed using different hyperelastic models such that increased accuracy could be achieved for the force characteristics compared to the displacement characteristics, since changes in the force variation would be more perceptible to a user in the simulation environment, while maintaining a high correlation with the surface displacement data. Furthermore, this study also presents the probing simulation which includes the capsule surrounding the liver.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">21161684</PMID><DateCreated><Year>2011</Year><Month>02</Month><Day>10</Day></DateCreated><DateCompleted><Year>2011</Year><Month>06</Month><Day>02</Day></DateCompleted><DateRevised><Year>2015</Year><Month>02</Month><Day>05</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1573-9686</ISSN><JournalIssue CitedMedium="Internet"><Volume>39</Volume><Issue>3</Issue><PubDate><Year>2011</Year><Month>Mar</Month></PubDate></JournalIssue><Title>Annals of biomedical engineering</Title><ISOAbbreviation>Ann Biomed Eng</ISOAbbreviation></Journal><ArticleTitle>Development of in vivo constitutive models for liver: application to surgical simulation.</ArticleTitle><Pagination><MedlinePgn>1060-73</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s10439-010-0227-8</ELocationID><Abstract><AbstractText>Advancements in real-time surgical simulation techniques have provided the ability to utilize more complex nonlinear constitutive models for biological tissues which result in increased haptic and graphic accuracy. When developing such a model, verification is necessary to determine the accuracy of the force response as well as the magnitude of tissue deformation for tool-tissue interactions. In this study, we present an experimental device which provides the ability to obtain force-displacement information as well as surface deformation of porcine liver for in vivo probing tasks. In addition, the system is capable of accurately determining the geometry of the liver specimen. These combined attributes provide the context required to simulate the experiment with accurate boundary conditions, whereby the only variable in the analysis is the material properties of the liver specimen. During the simulation, effects of settling due to gravity have been taken into account by a technique which incorporates the proper internal stress conditions in the model without altering the geometry. Initially, an Ogden model developed from ex vivo tension and compression experimentation is run through the simulation to determine the efficacy of utilizing an ex vivo model for simulation of in vivo probing tasks on porcine liver. Subsequently, a method for improving upon the ex vivo model was developed using different hyperelastic models such that increased accuracy could be achieved for the force characteristics compared to the displacement characteristics, since changes in the force variation would be more perceptible to a user in the simulation environment, while maintaining a high correlation with the surface displacement data. Furthermore, this study also presents the probing simulation which includes the capsule surrounding the liver.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lister</LastName><ForeName>Kevin</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Robotics, Automation, and Medical Systems Laboratory, Maryland Robotics Center, Institute for Systems Research, Department of Mechanical Engineering, University of Maryland, College Park, MD 20742, USA. klister@umd.edu</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gao</LastName><ForeName>Zhan</ForeName><Initials>Z</Initials></Author><Author ValidYN="Y"><LastName>Desai</LastName><ForeName>Jaydev P</ForeName><Initials>JP</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>R01 EB006615</GrantID><Acronym>EB</Acronym><Agency>NIBIB NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01 EB006615-05</GrantID><Acronym>EB</Acronym><Agency>NIBIB NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01EB006615</GrantID><Acronym>EB</Acronym><Agency>NIBIB NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2010</Year><Month>12</Month><Day>16</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Ann Biomed Eng</MedlineTA><NlmUniqueID>0361512</NlmUniqueID><ISSNLinking>0090-6964</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Med Image Anal. 2007 Dec;11(6):663-72</RefSource><PMID 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RefType="Cites"><RefSource>Stud Health Technol Inform. 1999;62:351-7</RefSource><PMID Version="1">10538385</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Biomech. 2005 May;38(5):1011-21</RefSource><PMID Version="1">15797583</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Biomech. 2006;39(12):2221-31</RefSource><PMID Version="1">16126215</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>IEEE Trans Biomed Eng. 2007 Mar;54(3):349-59</RefSource><PMID Version="1">17355046</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Med Image Anal. 2007 Aug;11(4):361-73</RefSource><PMID Version="1">17509927</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003198">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D055119">Elastic Modulus</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006244">Hardness</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006498">Hepatectomy</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008099">Liver</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName><QualifierName MajorTopicYN="Y" UI="Q000601">surgery</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D008954">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013314">Stress, Mechanical</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" 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