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Deformation of Soft Tissue and Force Feedback Using the Smoothed Particle Hydrodynamics

Identifieur interne : 003C58 ( Ncbi/Merge ); précédent : 003C57; suivant : 003C59

Deformation of Soft Tissue and Force Feedback Using the Smoothed Particle Hydrodynamics

Auteurs : Xuemei Liu [République populaire de Chine] ; Ruiyi Wang [République populaire de Chine] ; Yunhua Li [République populaire de Chine] ; Dongdong Song [République populaire de Chine]

Source :

RBID : PMC:4568357

Abstract

We study the deformation and haptic feedback of soft tissue in virtual surgery based on a liver model by using a force feedback device named PHANTOM OMNI developed by SensAble Company in USA. Although a significant amount of research efforts have been dedicated to simulating the behaviors of soft tissue and implementing force feedback, it is still a challenging problem. This paper introduces a kind of meshfree method for deformation simulation of soft tissue and force computation based on viscoelastic mechanical model and smoothed particle hydrodynamics (SPH). Firstly, viscoelastic model can present the mechanical characteristics of soft tissue which greatly promotes the realism. Secondly, SPH has features of meshless technique and self-adaption, which supply higher precision than methods based on meshes for force feedback computation. Finally, a SPH method based on dynamic interaction area is proposed to improve the real time performance of simulation. The results reveal that SPH methodology is suitable for simulating soft tissue deformation and force feedback calculation, and SPH based on dynamic local interaction area has a higher computational efficiency significantly compared with usual SPH. Our algorithm has a bright prospect in the area of virtual surgery.


Url:
DOI: 10.1155/2015/598415
PubMed: 26417380
PubMed Central: 4568357

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PMC:4568357

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<title xml:lang="en" level="a" type="main">Deformation of Soft Tissue and Force Feedback Using the Smoothed Particle Hydrodynamics</title>
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<name sortKey="Liu, Xuemei" sort="Liu, Xuemei" uniqKey="Liu X" first="Xuemei" last="Liu">Xuemei Liu</name>
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<name sortKey="Wang, Ruiyi" sort="Wang, Ruiyi" uniqKey="Wang R" first="Ruiyi" last="Wang">Ruiyi Wang</name>
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<name sortKey="Li, Yunhua" sort="Li, Yunhua" uniqKey="Li Y" first="Yunhua" last="Li">Yunhua Li</name>
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<nlm:aff id="I2">School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China</nlm:aff>
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</author>
<author>
<name sortKey="Song, Dongdong" sort="Song, Dongdong" uniqKey="Song D" first="Dongdong" last="Song">Dongdong Song</name>
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<nlm:aff id="I1">North China University of Water Resource and Electric Power, Zhengzhou 450011, China</nlm:aff>
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<title level="j">Computational and Mathematical Methods in Medicine</title>
<idno type="ISSN">1748-670X</idno>
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<div type="abstract" xml:lang="en">
<p>We study the deformation and haptic feedback of soft tissue in virtual surgery based on a liver model by using a force feedback device named PHANTOM OMNI developed by SensAble Company in USA. Although a significant amount of research efforts have been dedicated to simulating the behaviors of soft tissue and implementing force feedback, it is still a challenging problem. This paper introduces a kind of meshfree method for deformation simulation of soft tissue and force computation based on viscoelastic mechanical model and smoothed particle hydrodynamics (SPH). Firstly, viscoelastic model can present the mechanical characteristics of soft tissue which greatly promotes the realism. Secondly, SPH has features of meshless technique and self-adaption, which supply higher precision than methods based on meshes for force feedback computation. Finally, a SPH method based on dynamic interaction area is proposed to improve the real time performance of simulation. The results reveal that SPH methodology is suitable for simulating soft tissue deformation and force feedback calculation, and SPH based on dynamic local interaction area has a higher computational efficiency significantly compared with usual SPH. Our algorithm has a bright prospect in the area of virtual surgery.</p>
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<name sortKey="Liu, Xuemei" sort="Liu, Xuemei" uniqKey="Liu X" first="Xuemei" last="Liu">Xuemei Liu</name>
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<nlm:affiliation>North China University of Water Resource and Electric Power, Zhengzhou 450011, China ; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>North China University of Water Resource and Electric Power, Zhengzhou 450011, China ; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191</wicri:regionArea>
<placeName>
<settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Wang, Ruiyi" sort="Wang, Ruiyi" uniqKey="Wang R" first="Ruiyi" last="Wang">Ruiyi Wang</name>
<affiliation wicri:level="1">
<nlm:affiliation>North China University of Water Resource and Electric Power, Zhengzhou 450011, China ; Henan Radio & Television University, Zhengzhou 450011, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>North China University of Water Resource and Electric Power, Zhengzhou 450011, China ; Henan Radio & Television University, Zhengzhou 450011</wicri:regionArea>
<wicri:noRegion>Zhengzhou 450011</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Li, Yunhua" sort="Li, Yunhua" uniqKey="Li Y" first="Yunhua" last="Li">Yunhua Li</name>
<affiliation wicri:level="1">
<nlm:affiliation>North China University of Water Resource and Electric Power, Zhengzhou 450011, China ; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>North China University of Water Resource and Electric Power, Zhengzhou 450011, China ; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191</wicri:regionArea>
<placeName>
<settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Song, Dongdong" sort="Song, Dongdong" uniqKey="Song D" first="Dongdong" last="Song">Dongdong Song</name>
<affiliation wicri:level="1">
<nlm:affiliation>North China University of Water Resource and Electric Power, Zhengzhou 450011, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>North China University of Water Resource and Electric Power, Zhengzhou 450011</wicri:regionArea>
<wicri:noRegion>Zhengzhou 450011</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Computational and mathematical methods in medicine</title>
<idno type="eISSN">1748-6718</idno>
<imprint>
<date when="2015" type="published">2015</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">We study the deformation and haptic feedback of soft tissue in virtual surgery based on a liver model by using a force feedback device named PHANTOM OMNI developed by SensAble Company in USA. Although a significant amount of research efforts have been dedicated to simulating the behaviors of soft tissue and implementing force feedback, it is still a challenging problem. This paper introduces a kind of meshfree method for deformation simulation of soft tissue and force computation based on viscoelastic mechanical model and smoothed particle hydrodynamics (SPH). Firstly, viscoelastic model can present the mechanical characteristics of soft tissue which greatly promotes the realism. Secondly, SPH has features of meshless technique and self-adaption, which supply higher precision than methods based on meshes for force feedback computation. Finally, a SPH method based on dynamic interaction area is proposed to improve the real time performance of simulation. The results reveal that SPH methodology is suitable for simulating soft tissue deformation and force feedback calculation, and SPH based on dynamic local interaction area has a higher computational efficiency significantly compared with usual SPH. Our algorithm has a bright prospect in the area of virtual surgery.</div>
</front>
</TEI>
</pubmed>
</double>
</record>

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