Cost-efficient suturing simulation with pre-computed models.
Identifieur interne : 002C94 ( Main/Merge ); précédent : 002C93; suivant : 002C95Cost-efficient suturing simulation with pre-computed models.
Auteurs : Venkata Sreekanth Arikatla [États-Unis] ; Ganesh Sankaranarayanan ; Suvranu DeSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2011.
Descripteurs français
- Wicri :
- geographic : États-Unis.
English descriptors
- KwdEn :
- Computer Simulation, Connective Tissue (anatomy & histology), Connective Tissue (surgery), Humans, Models, Anatomic, Models, Biological, Needles, Punctures (instrumentation), Punctures (methods), Stress, Mechanical, Surgery, Computer-Assisted (methods), Suture Techniques, United States, User-Computer Interface.
- MESH :
- geographic : United States.
- anatomy & histology : Connective Tissue.
- instrumentation : Punctures.
- methods : Punctures, Surgery, Computer-Assisted.
- surgery : Connective Tissue.
- Computer Simulation, Humans, Models, Anatomic, Models, Biological, Needles, Stress, Mechanical, Suture Techniques, User-Computer Interface.
Abstract
Suturing is currently one of the most common procedures in minimally invasive surgery (MIS). We present a suturing simulation paradigm with pre-computed finite element models which include detailed needle-tissue and thread-tissue interaction. The interaction forces are derived through a reanalysis technique for haptic feedback. Besides providing deformation updates and high fidelity forces, our simulation is computationally less costly.
PubMed: 21335753
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pubmed:21335753Le document en format XML
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<author><name sortKey="Arikatla, Venkata Sreekanth" sort="Arikatla, Venkata Sreekanth" uniqKey="Arikatla V" first="Venkata Sreekanth" last="Arikatla">Venkata Sreekanth Arikatla</name>
<affiliation wicri:level="2"><nlm:affiliation>Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA.</nlm:affiliation>
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<author><name sortKey="Sankaranarayanan, Ganesh" sort="Sankaranarayanan, Ganesh" uniqKey="Sankaranarayanan G" first="Ganesh" last="Sankaranarayanan">Ganesh Sankaranarayanan</name>
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<author><name sortKey="Sankaranarayanan, Ganesh" sort="Sankaranarayanan, Ganesh" uniqKey="Sankaranarayanan G" first="Ganesh" last="Sankaranarayanan">Ganesh Sankaranarayanan</name>
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<series><title level="j">Studies in health technology and informatics</title>
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<imprint><date when="2011" type="published">2011</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Computer Simulation</term>
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<term>Models, Anatomic</term>
<term>Models, Biological</term>
<term>Needles</term>
<term>Punctures (instrumentation)</term>
<term>Punctures (methods)</term>
<term>Stress, Mechanical</term>
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<term>Suture Techniques</term>
<term>United States</term>
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<keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Punctures</term>
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<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Punctures</term>
<term>Surgery, Computer-Assisted</term>
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<term>Humans</term>
<term>Models, Anatomic</term>
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<term>Needles</term>
<term>Stress, Mechanical</term>
<term>Suture Techniques</term>
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<front><div type="abstract" xml:lang="en">Suturing is currently one of the most common procedures in minimally invasive surgery (MIS). We present a suturing simulation paradigm with pre-computed finite element models which include detailed needle-tissue and thread-tissue interaction. The interaction forces are derived through a reanalysis technique for haptic feedback. Besides providing deformation updates and high fidelity forces, our simulation is computationally less costly.</div>
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