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Subject Specific Finite Element Mesh Generation of the Pelvis from Biplanar X-ray Images: Application to 120 clinical cases

Type
Articles dans des revues avec comité de lecture
Author
FOUGERON, Nolwenn
175453 Arts et Métiers ParisTech
466360 Institut de Biomecanique Humaine Georges Charpak
ROHAN, Pierre-Yves
466360 Institut de Biomecanique Humaine Georges Charpak
175453 Arts et Métiers ParisTech
MACRON, Aurélien
40214 Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information [CEA-LETI]
175453 Arts et Métiers ParisTech
466360 Institut de Biomecanique Humaine Georges Charpak
TRAVERT, Christophe
466360 Institut de Biomecanique Humaine Georges Charpak
175453 Arts et Métiers ParisTech
PILLET, Hélène
466360 Institut de Biomecanique Humaine Georges Charpak
175453 Arts et Métiers ParisTech
SKALLI, Wafa
175453 Arts et Métiers ParisTech
466360 Institut de Biomecanique Humaine Georges Charpak

URI
http://hdl.handle.net/10985/15736
DOI
10.1080/10255842.2018.1469624
Date
2018
Journal
Comput Methods Biomech Biomed Engin.

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. The technique was successfully tested on a database of 120 3D reconstructions of pelvises from biplanar X-ray images. For each patient, a full hexahedral subject-specific FE mesh was generated with an accurate surface representation.

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