A statistical atlas based approach to automated subject-specific FE modeling. (January 2016)

• Record Type: Journal Article
• Authors: Wang, Xilu; Qian, Xiaoping
• Is Part Of: Computer aided design. Volume 70(2016)
• Page Start: 67
• Page End: 77
• Publication Date: 2016-01
• Subjects: Free-form deformation -- Morphing -- Statistical shape modeling -- Finite element modeling; Computer-aided design -- Periodicals; Engineering design -- Data processing -- Periodicals; Computer graphics -- Periodicals; Conception technique -- Informatique -- Périodiques; Infographie -- Périodiques; Computer graphics; Engineering design -- Data processing; Periodicals; Electronic journals; 620.00420285
• DOI: 10.1016/j.cad.2015.07.003
• Languages: English
• ISSNs: 0010-4485

Abstract

Abstract: Subject-specific modeling is increasingly important in biomechanics simulation. However, how to automatically create high-quality finite element (FE) mesh and how to automatically impose boundary condition are challenging. This paper presents a statistical atlas based approach for automatic meshing of subject-specific shapes. In our approach, shape variations among a shape population are explicitly modeled and the correspondence between a given subject-specific shape and the statistical atlas is sought within the "legal" shape variations. This approach involves three parts: (1) constructing a statistical atlas from a shape population, including the statistical shape model and the FE model of the mean shape; (2) establishing the correspondence between a given subject shape and the atlas; and (3) deforming the atlas to the subject shape based on the shape correspondence. Numerical results on 2D hands, 3D femur bones and 3D aorta demonstrate the effectiveness of the proposed approach. Highlights: A statistical atlas is constructed to account for shape variations. Shape correspondence is obtained through the eigenspace search. Subject-specific FE mesh is obtained from the deformed mesh of the mean shape. The method is automated and is applicable to shapes with large variations.