Titlebook: Computational Biomechanics for Medicine; Solid and Fluid Mech Karol Miller,Adam Wittek,Poul M. F. Nielsen Conference proceedings 2021 The E

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https://doi.org/10.1007/978-3-662-04201-4nd an increased frequency of oscillation in cadavers. These initial results provide insight into potential differences in the deformation response of the brain in cadavers compared to HVs, though additional experiments are needed to further investigate the effect of age and atrophy on the deformatio

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Fourier Series and Fourier Transforms,mechanical modelling and computer simulation provide a means for brain deformation prediction, facilitating millimetre-accurate neuronavigation. In this contribution, we modelled brain deformation due to tumour resection. We assumed that the brain deformations were caused by stresses on the resected

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https://doi.org/10.1007/978-3-319-22210-3depends also on the flow conditions in the artery. Additional parameters that cannot be directly measured can be obtained by performing numerical simulations using patient-specific geometry. In this study, the Finite Element Method (FEM) is used to analyze the distribution of relevant blood flow cha

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https://doi.org/10.1007/978-3-319-22210-3etic Resonance (MR) imaging is the preferred imaging modality to measure geometrical features associated with PUs. It is a very time-consuming method and it represents a major barrier to the clinical translation of risk assessment tools. There is a growing enthusiasm of the community for the use of

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Structure Determination of Organic Compoundsttention is paid to related studies on biomechanical measurements of soft tissues, including the approaches for measuring forces and pressure distributions between stump and socket, and also estimating the deformations of soft tissues under loads. Mechanical properties of soft tissues related to the

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