Simulating soft tissues using a GPU approach of the mass-spring model

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dc.contributor.authorLeon, C.A.D.
dc.contributor.authorEliuk, S.
dc.contributor.authorGomez, H.T.
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Sistemasspa
dc.contributor.researchgroupI+D+I en Tecnologías de la Información y las Comunicacionesspa
dc.date.accessioned2021-04-12T21:07:06Z
dc.date.available2021-04-12T21:07:06Z
dc.date.issued2010-01-01
dc.description.abstractThe recent advances in the fields such as modeling bio-mechanics of living tissues, haptic technologies, computational capacity, and graphics realism have created conditions necessary in order to develop effective surgical training using virtual environments. However, virtual simulators need to meet two requirements, they need to be real-time and highly realistic. The most expensive computational task in a surgical simulator is that of the physical model. The physical model is the component responsible to simulate the deformation of the anatomical structures and the most important factor in order to obtain realism. In this paper we present a novel approach to virtual surgery. The novelty comes in two forms: specifically a highly realistic mass-spring model, and a GPU based technique, and analysis, that provides a nearly 80x speedup over serial execution and 20x speedup over CPU based parallel execution. ©2010 IEEE.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=2436
dc.identifier.doi10.1109/VR.2010.5444775
dc.identifier.isbn9781424462582
dc.identifier.urihttp://hdl.handle.net/10784/28741
dc.language.isoeng
dc.sourceIeee Virtual Reality 2010, Proceedings
dc.subject.keywordAnatomicaleng
dc.subject.keywordstructureseng
dc.subject.keywordComputationaleng
dc.subject.keywordcapacityeng
dc.subject.keywordComputationaleng
dc.subject.keywordtaskeng
dc.subject.keywordHapticeng
dc.subject.keywordtechnologyeng
dc.subject.keywordLivingeng
dc.subject.keywordtissueseng
dc.subject.keywordMass-springeng
dc.subject.keywordMass-springeng
dc.subject.keywordmodelseng
dc.subject.keywordParalleleng
dc.subject.keywordComputingeng
dc.subject.keywordParalleleng
dc.subject.keywordexecutionseng
dc.subject.keywordPhysicaleng
dc.subject.keywordmodeleng
dc.subject.keywordSerialeng
dc.subject.keywordexecutioneng
dc.subject.keywordSofteng
dc.subject.keywordtissueeng
dc.subject.keywordSurgicaleng
dc.subject.keywordsimulatorseng
dc.subject.keywordSurgicaleng
dc.subject.keywordtrainingeng
dc.subject.keywordVirtualeng
dc.subject.keywordenvironmentseng
dc.subject.keywordVirtualeng
dc.subject.keywordsimulatorseng
dc.subject.keywordVirtualeng
dc.subject.keywordsurgery,eng
dc.subject.keywordHistologyeng
dc.subject.keywordParalleleng
dc.subject.keywordarchitectureseng
dc.subject.keywordSurgeryeng
dc.subject.keywordSurgicaleng
dc.subject.keywordequipment,eng
dc.subject.keywordVirtualeng
dc.subject.keywordrealityeng
dc.titleSimulating soft tissues using a GPU approach of the mass-spring modeleng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
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