Radiofrequency ablation of hepatic tumors: simulation, planning, and contribution of virtual reality and haptics.
Identifieur interne : 000822 ( Ncbi/Curation ); précédent : 000821; suivant : 000823Radiofrequency 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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pubmed:16298844Le document en format XML
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<author><name sortKey="Villard, Caroline" sort="Villard, Caroline" uniqKey="Villard C" first="Caroline" last="Villard">Caroline Villard</name>
<affiliation wicri:level="3"><nlm:affiliation>LSIIT, boulevard Sebastien Brant, Illkirch, F67400, France. villard@lsiit.u-strasbg.fr</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>LSIIT, boulevard Sebastien Brant, Illkirch, F67400</wicri:regionArea>
<placeName><region type="region" nuts="2">Alsace-Champagne-Ardenne-Lorraine</region>
<region type="old region" nuts="2">Alsace</region>
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<author><name sortKey="Soler, Luc" sort="Soler, Luc" uniqKey="Soler L" first="Luc" last="Soler">Luc Soler</name>
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<author><name sortKey="Gangi, Afshin" sort="Gangi, Afshin" uniqKey="Gangi A" first="Afshin" last="Gangi">Afshin Gangi</name>
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<affiliation wicri:level="3"><nlm:affiliation>LSIIT, boulevard Sebastien Brant, Illkirch, F67400, France. villard@lsiit.u-strasbg.fr</nlm:affiliation>
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<series><title level="j">Computer methods in biomechanics and biomedical engineering</title>
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<imprint><date when="2005" type="published">2005</date>
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<term>Catheter Ablation (statistics & numerical data)</term>
<term>Computer Simulation</term>
<term>Humans</term>
<term>Image Processing, Computer-Assisted</term>
<term>Liver Neoplasms (pathology)</term>
<term>Liver Neoplasms (surgery)</term>
<term>Phantoms, Imaging</term>
<term>Radio Waves (therapeutic use)</term>
<term>Surgery, Computer-Assisted</term>
<term>User-Computer Interface</term>
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<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Catheter Ablation</term>
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<keywords scheme="MESH" qualifier="surgery" xml:lang="en"><term>Liver Neoplasms</term>
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<keywords scheme="MESH" qualifier="therapeutic use" xml:lang="en"><term>Radio Waves</term>
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<term>Humans</term>
<term>Image Processing, Computer-Assisted</term>
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<front><div type="abstract" xml:lang="en">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.</div>
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