Abstract

Biofidel femur Finite Element Models have been developed using specific combination of Computer Tomography segmentation and solid modeling software tools able to represent bone physiology and structural behavior. These biofidel Finite Element Models (FEM) is used to evaluate the modification of the physiological stress distribution in a prosthesized femur and to assess new design criteria for the development of biomimetic hybrid biological hip prostheses. The faithful models proposed allowed us to properly consider the not isotropic characteristics of the proximal epiphysis of the femur and for the isotropic behavior in diaphysis to explain the critical alterations of the stress distribution in a resected femur following the implantation of a traditional hip joint prostheses. It has been shown that a wide region of the femur diaphysis is completely shielded by the rigid prosthesis significantly altering the physiological stress distribution that should guaranty a healthy bone growth and regeneration.

Highlights

  • A highly interdisciplinary research group has been involved in the study of bone as a living material

  • The human femur is characterized by a specific internal structure (Oh and Harris, 1976; Gottesman and Hashin, 1980) that imparts to the bone a high capacity to withstand external stresses while optimizing its mass distribution and morphology (Ashman et al, 1984; Dalstyra et al, 1993)

  • Stress distribution confirms the presence of bending effects, with the highest values homogeneously distributed in the anatomical diaphysis regions with a maximum of about 90 MPa

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Summary

Introduction

A highly interdisciplinary research group has been involved in the study of bone as a living material. Advanced academic studies on biomechanics and biomimetic of implanted bones resulted from these investigations. The human femur is characterized by a specific internal structure (Oh and Harris, 1976; Gottesman and Hashin, 1980) that imparts to the bone a high capacity to withstand external stresses while optimizing its mass distribution and morphology (Ashman et al, 1984; Dalstyra et al, 1993).

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