Abstract
Several Finite Element (FE) models of the pelvis have been developed to comprehensively assess the onset of pathologies and for clinical and industrial applications. However, because of the difficulties associated with the creation of subject-specific FE mesh from CT scan and MR images, most of the existing models rely on the data of one given individual. Moreover, although several fast and robust methods have been developed for automatically generating tetrahedral meshes of arbitrary geometries, hexahedral meshes are still preferred today because of their distinct advantages but their generation remains an open challenge. Recently, approaches have been proposed for fast 3D reconstruction of bones based on X-ray imaging. In this study, we adapted such an approach for the fast and automatic generation of all-hexahedral subject-specific FE models of the pelvis based on the elastic registration of a generic mesh to the subject-specific target in conjunction with element regularity and quality correction. A full hexahedral subject-specific FE mesh was generated with an accurate surface representation.
Highlights
IntroductionFinite Element Modelling is becoming an ever more important tool in the field of biomedical engineering for many applications including the investigation of the mechanisms responsible for the onset of pathologies, for surgical planing and for the evalution of the impact of medical devices on patient outcome
Finite Element Modelling is becoming an ever more important tool in the field of biomedical engineering for many applications including the investigation of the mechanisms responsible for the onset of pathologies, for surgical planing and for the evalution of the impact of medical devices on patient outcome.Finite Element models are generally built from patient medical image data, such as computed tomography (CT) or magnetic resonance imaging (MRI) (Linder-Ganz et al 2008)
The aim of this study is to develop a methodology for the automatic hexahedral subject specific Finite Element mesh design of the pelvis based on 3D reconstruction from bi planar X-rays
Summary
Finite Element Modelling is becoming an ever more important tool in the field of biomedical engineering for many applications including the investigation of the mechanisms responsible for the onset of pathologies, for surgical planing and for the evalution of the impact of medical devices on patient outcome. Finite Element models are generally built from patient medical image data, such as computed tomography (CT) or magnetic resonance imaging (MRI) (Linder-Ganz et al 2008). Many attempts have been made in the literature to circumvent this problem and today several fast and robust methods have been developed for automatically generating tetrahedral meshes of arbitrary geometries. For a wide range of applications, hexahedral-based meshes are preferred: First, to achieve the same solution, accuracy for a given analysis requires far more tetrahedral elements than hexahedral elements, and this leads to higher computational costs (both time and memory). It is well known that for incompressible and/or nearly incompressible materials, 4-noded tetrahedra with linear shape functions tend to lock and become overly stiff, generally producing acceptable displacement results but relatively inaccurate results for stresses
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