Radiofrequency ablation of hepatic tumors: simulation, planning, and contribution of virtual reality and haptics.
Identifieur interne : 001884 ( PubMed/Curation ); précédent : 001883; suivant : 001885Radiofrequency ablation of hepatic tumors: simulation, planning, and contribution of virtual reality and haptics.
Auteurs : Caroline Villard [France] ; Luc Soler ; Afshin GangiSource :
- Computer methods in biomechanics and biomedical engineering [ 1025-5842 ] ; 2005.
English descriptors
- KwdEn :
- Catheter Ablation (instrumentation), Catheter Ablation (statistics & numerical data), Computer Simulation, Humans, Image Processing, Computer-Assisted, Liver Neoplasms (pathology), Liver Neoplasms (surgery), Phantoms, Imaging, Radio Waves (therapeutic use), Surgery, Computer-Assisted, User-Computer Interface.
- MESH :
- instrumentation : Catheter Ablation.
- pathology : Liver Neoplasms.
- statistics & numerical data : Catheter Ablation.
- surgery : Liver Neoplasms.
- therapeutic use : Radio Waves.
- Computer Simulation, Humans, Image Processing, Computer-Assisted, Phantoms, Imaging, Surgery, Computer-Assisted, User-Computer Interface.
Abstract
For radiofrequency ablation (RFA) of liver tumors, evaluation of vascular architecture, post-RFA necrosis prediction, and the choice of a suitable needle placement strategy using conventional radiological techniques remain difficult. In an attempt to enhance the safety of RFA, a 3D simulator, treatment planning, and training tool, that simulates the insertion of the needle, the necrosis of the treated area, and proposes an optimal needle placement, has been developed. The 3D scenes are automatically reconstructed from enhanced spiral CT scans. The simulator takes into account the cooling effect of local vessels greater than 3 mm in diameter, making necrosis shapes more realistic. Optimal needle positioning can be automatically generated by the software to produce complete destruction of the tumor, with maximum respect of the healthy liver and of all major structures to avoid. We also studied how the use of virtual reality and haptic devices are valuable to make simulation and training realistic and effective.
DOI: 10.1080/10255840512331389028
PubMed: 16298844
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In an attempt to enhance the safety of RFA, a 3D simulator, treatment planning, and training tool, that simulates the insertion of the needle, the necrosis of the treated area, and proposes an optimal needle placement, has been developed. The 3D scenes are automatically reconstructed from enhanced spiral CT scans. The simulator takes into account the cooling effect of local vessels greater than 3 mm in diameter, making necrosis shapes more realistic. Optimal needle positioning can be automatically generated by the software to produce complete destruction of the tumor, with maximum respect of the healthy liver and of all major structures to avoid. We also studied how the use of virtual reality and haptic devices are valuable to make simulation and training realistic and effective.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">16298844</PMID><DateCreated><Year>2005</Year><Month>11</Month><Day>21</Day></DateCreated><DateCompleted><Year>2006</Year><Month>01</Month><Day>04</Day></DateCompleted><DateRevised><Year>2006</Year><Month>11</Month><Day>15</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1025-5842</ISSN><JournalIssue CitedMedium="Print"><Volume>8</Volume><Issue>4</Issue><PubDate><Year>2005</Year><Month>Aug</Month></PubDate></JournalIssue><Title>Computer methods in biomechanics and biomedical engineering</Title><ISOAbbreviation>Comput Methods Biomech Biomed Engin</ISOAbbreviation></Journal><ArticleTitle>Radiofrequency ablation of hepatic tumors: simulation, planning, and contribution of virtual reality and haptics.</ArticleTitle><Pagination><MedlinePgn>215-27</MedlinePgn></Pagination><Abstract><AbstractText>For radiofrequency ablation (RFA) of liver tumors, evaluation of vascular architecture, post-RFA necrosis prediction, and the choice of a suitable needle placement strategy using conventional radiological techniques remain difficult. In an attempt to enhance the safety of RFA, a 3D simulator, treatment planning, and training tool, that simulates the insertion of the needle, the necrosis of the treated area, and proposes an optimal needle placement, has been developed. The 3D scenes are automatically reconstructed from enhanced spiral CT scans. The simulator takes into account the cooling effect of local vessels greater than 3 mm in diameter, making necrosis shapes more realistic. Optimal needle positioning can be automatically generated by the software to produce complete destruction of the tumor, with maximum respect of the healthy liver and of all major structures to avoid. We also studied how the use of virtual reality and haptic devices are valuable to make simulation and training realistic and effective.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Villard</LastName><ForeName>Caroline</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>LSIIT, boulevard Sebastien Brant, Illkirch, F67400, France. villard@lsiit.u-strasbg.fr</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Soler</LastName><ForeName>Luc</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Gangi</LastName><ForeName>Afshin</ForeName><Initials>A</Initials></Author></AuthorList><Language>eng</Language><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>Comput Methods Biomech Biomed Engin</MedlineTA><NlmUniqueID>9802899</NlmUniqueID><ISSNLinking>1025-5842</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D017115">Catheter Ablation</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000295">instrumentation</QualifierName><QualifierName MajorTopicYN="N" UI="Q000706">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003198">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007091">Image Processing, Computer-Assisted</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008113">Liver Neoplasms</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000473">pathology</QualifierName><QualifierName MajorTopicYN="Y" UI="Q000601">surgery</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D019047">Phantoms, Imaging</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011846">Radio Waves</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000627">therapeutic use</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D025321">Surgery, Computer-Assisted</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D014584">User-Computer Interface</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2005</Year><Month>11</Month><Day>22</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2006</Year><Month>1</Month><Day>5</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2005</Year><Month>11</Month><Day>22</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">N11H806210RR538J</ArticleId><ArticleId IdType="doi">10.1080/10255840512331389028</ArticleId><ArticleId IdType="pubmed">16298844</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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