Haptic herniorrhaphy simulation with robust and fast collision detection algorithm.
Identifieur interne : 001971 ( PubMed/Corpus ); précédent : 001970; suivant : 001972Haptic herniorrhaphy simulation with robust and fast collision detection algorithm.
Auteurs : Yunhe Shen ; Venkat Devarajan ; Robert EberhartSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2005.
English descriptors
- KwdEn :
- MESH :
- surgery : Hernia, Inguinal.
- Algorithms, Computer Simulation, Touch, User-Computer Interface.
Abstract
Collision detection and soft tissue deformation are two major research challenges in real time VR based simulation, especially when haptic feedback is required. We have developed a real time collision detection algorithm for a prototype laparoscopic surgery trainer. However, this algorithm makes no assumptions about its applications and thus can be a generic solution to complicated collision detection problems. For soft tissue modeling, we use the mass-spring model enhanced with volume constraint and, stability control methods. We use both the new collision detection and tissue modeling algorithms in a bimanual hernia repair simulator which performs a mesh prosthesis stapling operation in real time.
PubMed: 15718778
Links to Exploration step
pubmed:15718778Le document en format XML
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<author><name sortKey="Shen, Yunhe" sort="Shen, Yunhe" uniqKey="Shen Y" first="Yunhe" last="Shen">Yunhe Shen</name>
<affiliation><nlm:affiliation>Joint BME Program in the University of Texas at Arlington and University of Texas Southwestern Medical Center at Dallas, Dallas, TX, USA.</nlm:affiliation>
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<author><name sortKey="Devarajan, Venkat" sort="Devarajan, Venkat" uniqKey="Devarajan V" first="Venkat" last="Devarajan">Venkat Devarajan</name>
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<author><name sortKey="Eberhart, Robert" sort="Eberhart, Robert" uniqKey="Eberhart R" first="Robert" last="Eberhart">Robert Eberhart</name>
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<affiliation><nlm:affiliation>Joint BME Program in the University of Texas at Arlington and University of Texas Southwestern Medical Center at Dallas, Dallas, TX, USA.</nlm:affiliation>
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<author><name sortKey="Devarajan, Venkat" sort="Devarajan, Venkat" uniqKey="Devarajan V" first="Venkat" last="Devarajan">Venkat Devarajan</name>
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<author><name sortKey="Eberhart, Robert" sort="Eberhart, Robert" uniqKey="Eberhart R" first="Robert" last="Eberhart">Robert Eberhart</name>
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<series><title level="j">Studies in health technology and informatics</title>
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<term>Computer Simulation</term>
<term>Hernia, Inguinal (surgery)</term>
<term>Touch</term>
<term>User-Computer Interface</term>
</keywords>
<keywords scheme="MESH" qualifier="surgery" xml:lang="en"><term>Hernia, Inguinal</term>
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<front><div type="abstract" xml:lang="en">Collision detection and soft tissue deformation are two major research challenges in real time VR based simulation, especially when haptic feedback is required. We have developed a real time collision detection algorithm for a prototype laparoscopic surgery trainer. However, this algorithm makes no assumptions about its applications and thus can be a generic solution to complicated collision detection problems. For soft tissue modeling, we use the mass-spring model enhanced with volume constraint and, stability control methods. We use both the new collision detection and tissue modeling algorithms in a bimanual hernia repair simulator which performs a mesh prosthesis stapling operation in real time.</div>
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<Title>Studies in health technology and informatics</Title>
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<Abstract><AbstractText>Collision detection and soft tissue deformation are two major research challenges in real time VR based simulation, especially when haptic feedback is required. We have developed a real time collision detection algorithm for a prototype laparoscopic surgery trainer. However, this algorithm makes no assumptions about its applications and thus can be a generic solution to complicated collision detection problems. For soft tissue modeling, we use the mass-spring model enhanced with volume constraint and, stability control methods. We use both the new collision detection and tissue modeling algorithms in a bimanual hernia repair simulator which performs a mesh prosthesis stapling operation in real time.</AbstractText>
</Abstract>
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