Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/18123

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dc.contributor.authorAntunes, P. J.-
dc.contributor.authorDias, Gustavo R.-
dc.contributor.authorCoelho, A. T.-
dc.contributor.authorRebelo, F.-
dc.contributor.authorPereira, Tiago-
dc.date.accessioned2012-03-27T14:03:59Z-
dc.date.available2012-03-27T14:03:59Z-
dc.date.issued2011-
dc.identifier.isbn978-94-007-0010-9-
dc.identifier.urihttps://hdl.handle.net/1822/18123-
dc.description.abstractA 3D anatomically detailed non-linear finite element analysis human foot model is the final result of density segmentation 3D reconstruction techniques applied in Computed Tomography (CT) scan DICOM standard images in conjunction with 3D Computer Aided Design operations and finite element analysis (FEA) modelling. Density segmentation techniques were used to geometrically define the foot bone structure and the encapsulated soft tissues configuration. The monitoring of the contact pressure values at the foot plantar area assumes a vital role on the human comfort optimization. The contact pressure distribution at the plantar area and stresses at the bone structures are calculated for this article for a rigid and direct contact between the plantar foot area and the ground support. Linear and non-linear elastic constitutive material models were implemented to mechanically characterize the behaviour of the biological materials. Furthermore, an experimental validation of the FEA rigid-based contact pressure results is presented.por
dc.language.isoengpor
dc.publisherTaylor and Francispor
dc.rightsopenAccesspor
dc.titleNonlinear 3D foot FEA modeling from CT scan medical imagespor
dc.typebookPartpor
dc.peerreviewedyespor
oaire.citationStartPage135por
oaire.citationEndPage145por
oaire.citationTitleComputational Vision and Medical Image Processingpor
sdum.bookTitleComputational Vision and Medical Image Processingpor
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