Subject specific finite element mesh generation of the pelvis from biplanar x-ray images: application to 120 clinical cases. Issue 5 (4th April 2018)

• Record Type: Journal Article
• Authors: Fougeron, Nolwenn; Rohan, Pierre-Yves; Macron, Aurélien; Travert, Christophe; Pillet, Hélène; Skalli, Wafa
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 21:Issue 5(2018)
• Page Start: 408
• Page End: 412
• Publication Date: 2018-04-04
• Subjects: Biplanar X-rays -- Finite Element Modelling -- Hexahedral Mesh -- Pelvis -- Subject Specific; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2018.1469624
• Languages: English
• ISSNs: 1025-5842

Abstract

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.