A computer model of soft tissue interaction with a surgical aspirator.
Identifieur interne : 001354 ( PubMed/Corpus ); précédent : 001353; suivant : 001355A computer model of soft tissue interaction with a surgical aspirator.
Auteurs : Vincent Mora ; Di Jiang ; Rupert Brooks ; Sébastien DelormeSource :
- Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention ; 2009.
English descriptors
- KwdEn :
- Animals, Brain (physiopathology), Brain (surgery), Cattle, Computer Simulation, Connective Tissue (physiology), Connective Tissue (surgery), Elastic Modulus (physiology), Hardness, In Vitro Techniques, Models, Biological, Suction (methods), Surgery, Computer-Assisted (methods), Tensile Strength (physiology).
- MESH :
- methods : Suction, Surgery, Computer-Assisted.
- physiology : Connective Tissue, Elastic Modulus, Tensile Strength.
- physiopathology : Brain.
- surgery : Brain, Connective Tissue.
- Animals, Cattle, Computer Simulation, Hardness, In Vitro Techniques, Models, Biological.
Abstract
Surgical aspirators are one of the most frequently used neurosurgical tools. Effective training on a neurosurgery simulator requires a visually and haptically realistic rendering of surgical aspiration. However, there is little published data on mechanical interaction between soft biological tissues and surgical aspirators. In this study an experimental setup for measuring tissue response is described and results on calf brain and a range of phantom materials are presented. Local graphical and haptic models are proposed. They are simple enough for real-time application, and closely match the observed tissue response. Tissue resection (cutting) with suction is simulated using a volume sculpting approach. A simulation of suction is presented as a demonstration of the effectiveness of the approach.
PubMed: 20425970
Links to Exploration step
pubmed:20425970Le document en format XML
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<author><name sortKey="Mora, Vincent" sort="Mora, Vincent" uniqKey="Mora V" first="Vincent" last="Mora">Vincent Mora</name>
<affiliation><nlm:affiliation>Industrial Materials Institute - National Research Council, Canada. vincent.mora@imi-cnrc.gc.ca</nlm:affiliation>
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<author><name sortKey="Jiang, Di" sort="Jiang, Di" uniqKey="Jiang D" first="Di" last="Jiang">Di Jiang</name>
</author>
<author><name sortKey="Brooks, Rupert" sort="Brooks, Rupert" uniqKey="Brooks R" first="Rupert" last="Brooks">Rupert Brooks</name>
</author>
<author><name sortKey="Delorme, Sebastien" sort="Delorme, Sebastien" uniqKey="Delorme S" first="Sébastien" last="Delorme">Sébastien Delorme</name>
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<author><name sortKey="Brooks, Rupert" sort="Brooks, Rupert" uniqKey="Brooks R" first="Rupert" last="Brooks">Rupert Brooks</name>
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<author><name sortKey="Delorme, Sebastien" sort="Delorme, Sebastien" uniqKey="Delorme S" first="Sébastien" last="Delorme">Sébastien Delorme</name>
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<series><title level="j">Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention</title>
<imprint><date when="2009" type="published">2009</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term>
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<term>Cattle</term>
<term>Computer Simulation</term>
<term>Connective Tissue (physiology)</term>
<term>Connective Tissue (surgery)</term>
<term>Elastic Modulus (physiology)</term>
<term>Hardness</term>
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<term>Models, Biological</term>
<term>Suction (methods)</term>
<term>Surgery, Computer-Assisted (methods)</term>
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<term>Surgery, Computer-Assisted</term>
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<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Brain</term>
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<keywords scheme="MESH" qualifier="surgery" xml:lang="en"><term>Brain</term>
<term>Connective Tissue</term>
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<keywords scheme="MESH" xml:lang="en"><term>Animals</term>
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<front><div type="abstract" xml:lang="en">Surgical aspirators are one of the most frequently used neurosurgical tools. Effective training on a neurosurgery simulator requires a visually and haptically realistic rendering of surgical aspiration. However, there is little published data on mechanical interaction between soft biological tissues and surgical aspirators. In this study an experimental setup for measuring tissue response is described and results on calf brain and a range of phantom materials are presented. Local graphical and haptic models are proposed. They are simple enough for real-time application, and closely match the observed tissue response. Tissue resection (cutting) with suction is simulated using a volume sculpting approach. A simulation of suction is presented as a demonstration of the effectiveness of the approach.</div>
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<Title>Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention</Title>
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<Abstract><AbstractText>Surgical aspirators are one of the most frequently used neurosurgical tools. Effective training on a neurosurgery simulator requires a visually and haptically realistic rendering of surgical aspiration. However, there is little published data on mechanical interaction between soft biological tissues and surgical aspirators. In this study an experimental setup for measuring tissue response is described and results on calf brain and a range of phantom materials are presented. Local graphical and haptic models are proposed. They are simple enough for real-time application, and closely match the observed tissue response. Tissue resection (cutting) with suction is simulated using a volume sculpting approach. A simulation of suction is presented as a demonstration of the effectiveness of the approach.</AbstractText>
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