Simulating Soft Tissues using a GPU approach of the Mass-Spring Model

dc.contributor.authorDiaz Leon, Christian Andres
dc.contributor.authorEliuk, Steven
dc.contributor.authorTrefftz Gomez, Helmuth
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Sistemasspa
dc.contributor.researchgroupI+D+I en Tecnologías de la Información y las Comunicacionesspa
dc.date.accessioned2021-04-12T21:06:22Z
dc.date.available2021-04-12T21:06:22Z
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.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=2147
dc.identifier.doi10.1109/VR.2010.5444775
dc.identifier.issn10878270
dc.identifier.otherWOS;000287516000048
dc.identifier.urihttp://hdl.handle.net/10784/28725
dc.language.isoeng
dc.publisherIEEE COMPUTER SOC
dc.rightsIEEE COMPUTER SOC
dc.sourceProceedings Of The Ieee Virtual Reality Annual International Symposium
dc.subject.keywordGPUeng
dc.subject.keywordVirtualeng
dc.subject.keywordSurgeryeng
dc.subject.keywordMass-Springeng
dc.subject.keywordParalleleng
dc.subject.keywordComputingeng
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
dc.type.localDocumento de conferenciaspa

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