An indentation depth-force sensing wheeled probe for abnormality identification during minimally invasive surgery.
Identifieur interne : 001067 ( PubMed/Corpus ); précédent : 001066; suivant : 001068An indentation depth-force sensing wheeled probe for abnormality identification during minimally invasive surgery.
Auteurs : H. Liu ; P. Puangmali ; D. Zbyszewski ; O. Elhage ; P. Dasgupta ; J S Dai ; L. Seneviratne ; K. AlthoeferSource :
- Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine [ 0954-4119 ] ; 2010.
English descriptors
- KwdEn :
- Elasticity Imaging Techniques (instrumentation), Equipment Design, Equipment Failure Analysis, Minimally Invasive Surgical Procedures (instrumentation), Palpation (instrumentation), Reproducibility of Results, Sensitivity and Specificity, Surgery, Computer-Assisted (trends), Touch, Transducers, User-Computer Interface.
- MESH :
Abstract
This paper presents a novel wheeled probe for the purpose of aiding a surgeon in soft tissue abnormality identification during minimally invasive surgery (MIS), compensating the loss of haptic feedback commonly associated with MIS. Initially, a prototype for validating the concept was developed. The wheeled probe consists of an indentation depth sensor employing an optic fibre sensing scheme and a force/torque sensor. The two sensors work in unison, allowing the wheeled probe to measure the tool-tissue interaction force and the rolling indentation depth concurrently. The indentation depth sensor was developed and initially tested on a homogenous silicone phantom representing a good model for a soft tissue organ; the results show that the sensor can accurately measure the indentation depths occurring while performing rolling indentation, and has good repeatability. To validate the ability of the wheeled probe to identify abnormalities located in the tissue, the device was tested on a silicone phantom containing embedded hard nodules. The experimental data demonstrate that recording the tissue reaction force as well as rolling indentation depth signals during rolling indentation, the wheeled probe can rapidly identify the distribution of tissue stiffness and cause the embedded hard nodules to be accurately located.
PubMed: 20608492
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Elhage</name></author><author><name sortKey="Dasgupta, P" sort="Dasgupta, P" uniqKey="Dasgupta P" first="P" last="Dasgupta">P. Dasgupta</name></author><author><name sortKey="Dai, J S" sort="Dai, J S" uniqKey="Dai J" first="J S" last="Dai">J S Dai</name></author><author><name sortKey="Seneviratne, L" sort="Seneviratne, L" uniqKey="Seneviratne L" first="L" last="Seneviratne">L. Seneviratne</name></author><author><name sortKey="Althoefer, K" sort="Althoefer, K" uniqKey="Althoefer K" first="K" last="Althoefer">K. Althoefer</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2010">2010</date><idno type="RBID">pubmed:20608492</idno><idno type="pmid">20608492</idno><idno type="wicri:Area/PubMed/Corpus">001067</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">An indentation depth-force sensing wheeled probe for abnormality identification during minimally invasive surgery.</title><author><name sortKey="Liu, H" sort="Liu, H" uniqKey="Liu H" first="H" last="Liu">H. Liu</name><affiliation><nlm:affiliation>King's College London, Department of Mechanical Engineering, Division of Engineering, School of Physical Sciences and Engineering, Strand, London, UK.</nlm:affiliation></affiliation></author><author><name sortKey="Puangmali, P" sort="Puangmali, P" uniqKey="Puangmali P" first="P" last="Puangmali">P. Puangmali</name></author><author><name sortKey="Zbyszewski, D" sort="Zbyszewski, D" uniqKey="Zbyszewski D" first="D" last="Zbyszewski">D. Zbyszewski</name></author><author><name sortKey="Elhage, O" sort="Elhage, O" uniqKey="Elhage O" first="O" last="Elhage">O. Elhage</name></author><author><name sortKey="Dasgupta, P" sort="Dasgupta, P" uniqKey="Dasgupta P" first="P" last="Dasgupta">P. Dasgupta</name></author><author><name sortKey="Dai, J S" sort="Dai, J S" uniqKey="Dai J" first="J S" last="Dai">J S Dai</name></author><author><name sortKey="Seneviratne, L" sort="Seneviratne, L" uniqKey="Seneviratne L" first="L" last="Seneviratne">L. Seneviratne</name></author><author><name sortKey="Althoefer, K" sort="Althoefer, K" uniqKey="Althoefer K" first="K" last="Althoefer">K. Althoefer</name></author></analytic><series><title level="j">Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine</title><idno type="ISSN">0954-4119</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Elasticity Imaging Techniques (instrumentation)</term><term>Equipment Design</term><term>Equipment Failure Analysis</term><term>Minimally Invasive Surgical Procedures (instrumentation)</term><term>Palpation (instrumentation)</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>Surgery, Computer-Assisted (trends)</term><term>Touch</term><term>Transducers</term><term>User-Computer Interface</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Elasticity Imaging Techniques</term><term>Minimally Invasive Surgical Procedures</term><term>Palpation</term></keywords><keywords scheme="MESH" qualifier="trends" xml:lang="en"><term>Surgery, Computer-Assisted</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Equipment Design</term><term>Equipment Failure Analysis</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term><term>Touch</term><term>Transducers</term><term>User-Computer Interface</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents a novel wheeled probe for the purpose of aiding a surgeon in soft tissue abnormality identification during minimally invasive surgery (MIS), compensating the loss of haptic feedback commonly associated with MIS. Initially, a prototype for validating the concept was developed. The wheeled probe consists of an indentation depth sensor employing an optic fibre sensing scheme and a force/torque sensor. The two sensors work in unison, allowing the wheeled probe to measure the tool-tissue interaction force and the rolling indentation depth concurrently. The indentation depth sensor was developed and initially tested on a homogenous silicone phantom representing a good model for a soft tissue organ; the results show that the sensor can accurately measure the indentation depths occurring while performing rolling indentation, and has good repeatability. To validate the ability of the wheeled probe to identify abnormalities located in the tissue, the device was tested on a silicone phantom containing embedded hard nodules. The experimental data demonstrate that recording the tissue reaction force as well as rolling indentation depth signals during rolling indentation, the wheeled probe can rapidly identify the distribution of tissue stiffness and cause the embedded hard nodules to be accurately located.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">20608492</PMID><DateCreated><Year>2010</Year><Month>07</Month><Day>08</Day></DateCreated><DateCompleted><Year>2010</Year><Month>08</Month><Day>20</Day></DateCompleted><DateRevised><Year>2014</Year><Month>11</Month><Day>20</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0954-4119</ISSN><JournalIssue CitedMedium="Print"><Volume>224</Volume><Issue>6</Issue><PubDate><Year>2010</Year></PubDate></JournalIssue><Title>Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine</Title><ISOAbbreviation>Proc Inst Mech Eng H</ISOAbbreviation></Journal><ArticleTitle>An indentation depth-force sensing wheeled probe for abnormality identification during minimally invasive surgery.</ArticleTitle><Pagination><MedlinePgn>751-63</MedlinePgn></Pagination><Abstract><AbstractText>This paper presents a novel wheeled probe for the purpose of aiding a surgeon in soft tissue abnormality identification during minimally invasive surgery (MIS), compensating the loss of haptic feedback commonly associated with MIS. Initially, a prototype for validating the concept was developed. The wheeled probe consists of an indentation depth sensor employing an optic fibre sensing scheme and a force/torque sensor. The two sensors work in unison, allowing the wheeled probe to measure the tool-tissue interaction force and the rolling indentation depth concurrently. The indentation depth sensor was developed and initially tested on a homogenous silicone phantom representing a good model for a soft tissue organ; the results show that the sensor can accurately measure the indentation depths occurring while performing rolling indentation, and has good repeatability. To validate the ability of the wheeled probe to identify abnormalities located in the tissue, the device was tested on a silicone phantom containing embedded hard nodules. The experimental data demonstrate that recording the tissue reaction force as well as rolling indentation depth signals during rolling indentation, the wheeled probe can rapidly identify the distribution of tissue stiffness and cause the embedded hard nodules to be accurately located.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>H</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>King's College London, Department of Mechanical Engineering, Division of Engineering, School of Physical Sciences and Engineering, Strand, London, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Puangmali</LastName><ForeName>P</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Zbyszewski</LastName><ForeName>D</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Elhage</LastName><ForeName>O</ForeName><Initials>O</Initials></Author><Author ValidYN="Y"><LastName>Dasgupta</LastName><ForeName>P</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Dai</LastName><ForeName>J S</ForeName><Initials>JS</Initials></Author><Author ValidYN="Y"><LastName>Seneviratne</LastName><ForeName>L</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Althoefer</LastName><ForeName>K</ForeName><Initials>K</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><Agency>Medical Research Council</Agency><Country>United Kingdom</Country></Grant><Grant><Agency>Department of Health</Agency><Country>United Kingdom</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Proc Inst Mech Eng H</MedlineTA><NlmUniqueID>8908934</NlmUniqueID><ISSNLinking>0954-4119</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D054459">Elasticity Imaging Techniques</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000295">instrumentation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004867">Equipment Design</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D019544">Equipment Failure Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D019060">Minimally Invasive Surgical Procedures</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000295">instrumentation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010173">Palpation</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000295">instrumentation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D015203">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012680">Sensitivity and Specificity</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D025321">Surgery, Computer-Assisted</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000639">trends</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D014110">Touch</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D014159">Transducers</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D014584">User-Computer Interface</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2010</Year><Month>7</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2010</Year><Month>7</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2010</Year><Month>8</Month><Day>21</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">20608492</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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