Titlebook: Computational Biomechanics for Medicine; Imaging, Modeling an Grand R. Joldes,Barry Doyle,Karol Miller Conference proceedings 2016 Springer

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Structure Formation in Solution acetabular coverage of the femoral head and to reduce contact pressures by reorienting the acetabulum fragment during PAO. The success of PAO significantly depends on the surgeon’s experience. Previously, we have developed a computer assisted planning and navigation system for PAO, which allows for

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https://doi.org/10.1007/3-540-27715-3large variability of tissue parameters. Subject-specific modeling of RFA is challenging as it requires the knowledge of model geometry and hemodynamics as well as the simulation of heat transfer and cell death mechanisms.In this paper, we propose to validate such a model from pre-operative multi-mod

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https://doi.org/10.1007/3-540-27715-3oach. These approaches do not consider the effect of morphological variation in cell populations. In this chapter we analyze shape variation within a population of endothelial cells, and the effect this variation has on stress estimates from finite-element modeling. We developed shape descriptors to

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Structure Formation in Solutionlanning. Prior to comparison, the images need to be registered (aligned) as changes in the patient’s posture and other factors associated with skeletal motion and deformations of organs/tissues lead to differences between the images. For whole-body images, such differences are large, which poses cha

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https://doi.org/10.1007/978-94-010-0540-1ar challenge for model discretization in this context is generating appropriate computational meshes.One efficient approach for Finite Element simulations avoiding meshing is the Composite Finite Element approach that has been developed and implemented for image based simulations during the past dec