Serviços Personalizados
Journal
Artigo
Indicadores
- Citado por SciELO
- Acessos
Links relacionados
- Similares em SciELO
Compartilhar
Computación y Sistemas
versão On-line ISSN 2007-9737versão impressa ISSN 1405-5546
Resumo
GARCIA-BLANQUEL, Claudia; MAJUMDAR, Amitava e LUNA-GARCIA, René. Parallel Adaptive Method for Selecting Points of Interest in Structures: Cranial Deformation. Comp. y Sist. [online]. 2013, vol.17, n.3, pp.317-327. ISSN 2007-9737.
In this paper, we present a cranial deformation simulation by applying a stress model using the Finite Element Method (FEM). We determine the geometry of cranium by processing 134 Computed Tomography (CT) images. We implement an image segmentation algorithm to build a three-dimensional cranium structure. We simulate stress and propose the boundary conditions according to the final position of forces applied by a stereotactic frame fixed on the human head. We used probabilistic and adaptive methods to select points in the structure with the purpose of reducing the computational cost and computational error due to discretization problem. We implement the algorithms using parallel programming (PosixThread and MPI).
Palavras-chave : HPC; parallel programming; FEM; adaptive method; cranial deformation.