Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/73020
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dc.titleA finite element method based deformable Brain Atlas suited for surgery simulation
dc.contributor.authorChunping, G.
dc.contributor.authorTay, F.E.H.
dc.contributor.authorNowinski, W.L.
dc.date.accessioned2014-06-19T05:30:15Z
dc.date.available2014-06-19T05:30:15Z
dc.date.issued2005
dc.identifier.citationChunping, G.,Tay, F.E.H.,Nowinski, W.L. (2005). A finite element method based deformable Brain Atlas suited for surgery simulation. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings 7 VOLS : 4337-4340. ScholarBank@NUS Repository.
dc.identifier.isbn0780387406
dc.identifier.issn05891019
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/73020
dc.description.abstractBrain Atlases are valuable tools that assist neurosurgeons during the planning of an intervention. Since current printed and digitalized brain atlas have several disadvantages, including lack of physical descriptions of brain structures and incompatibility with finite element analysis, we have developed a meshed brain atlas for finite element analysis of surgical procedures. Our meshed atlas is a multiple-object FE model integrated with knowledge of mechanical properties of brain tissue with detailed anatomical information. A non-linear hyper-viscoelastic mechanical property typically suited for neurosurgery simulation is incorporated. We then partially validated the utility of this model by numerical simulation of a gravity-induced brain deformation scenario. This meshed atlas is able to account for the deformation of both the whole brain and individual structures. It can be applied in large scale finite element simulations and, therefore, offers the possibility of developing bio-mechanical surgical planning and training systems. ©2005 IEEE.
dc.sourceScopus
dc.subjectBrain atlas
dc.subjectModeling
dc.subjectSimulation
dc.typeConference Paper
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.sourcetitleAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
dc.description.volume7 VOLS
dc.description.page4337-4340
dc.description.codenCEMBA
dc.identifier.isiutNOT_IN_WOS
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