2015
DOI: 10.1115/1.4028991
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Inverse Finite Element Modeling for Characterization of Local Elastic Properties in Image-Guided Failure Assessment of Human Trabecular Bone

Abstract: The local interpretation of microfinite element (μFE) simulations plays a pivotal role for studying bone structure–function relationships such as failure processes and bone remodeling.In the past μFE simulations have been successfully validated on the apparent level,however, at the tissue level validations are sparse and less promising. Furthermore,intra trabecular heterogeneity of the material properties has been shown by experimental studies. We proposed an inverse μFE algorithm that iteratively changes the … Show more

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Cited by 14 publications
(13 citation statements)
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References 75 publications
(76 reference statements)
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“…Without the ability to assess tissues at risk of failure properly, however, corrective action may be misguided or incomplete. As a result, failure analysis and modeling have become increasingly active research areas [1][2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…Without the ability to assess tissues at risk of failure properly, however, corrective action may be misguided or incomplete. As a result, failure analysis and modeling have become increasingly active research areas [1][2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…El tamaño del tubo debía ser menor a 50 mm. El límite lo imponía el tamaño de las vértebras y el espacio restante mínimo necesario cercano al taladro para que las piezas no quedasen dañadas (14) (15). Se optó por elegir un diámetro de 44 mm con un espesor de 2,7 mm, puesto que era el canto más grande que se encontraba en stock.…”
Section: Buscando La Formaunclassified
“…For bone, image registration has been used for various purposes, including improving the reproducibility of high-resolution computed tomography (CT) derived bone parameters [5], strain mapping of loaded bone [6], and for the analysis of sites of bone formation and resorption at the tibia [7] and finger joints. [8] For fractured bone, Lynch et al applied image registration to longitudinal CT images of healing distal radius fractures to assess changes in CT image intensity within the fracture gap during the healing process[9], and Tassani et al used image registration to automatically detect the fracture zone in microCT images of trabecular bone.…”
Section: Introductionmentioning
confidence: 99%
“…[5, 710] Zwahlen et al, however, used a deformable (non-rigid) image registration approach because of local deformation of individual trabeculae. [6]…”
Section: Introductionmentioning
confidence: 99%