Computationally-optimized bone mechanical modeling from high-resolution structural images.
Ontology highlight
ABSTRACT: Image-based mechanical modeling of the complex micro-structure of human bone has shown promise as a non-invasive method for characterizing bone strength and fracture risk in vivo. In particular, elastic moduli obtained from image-derived micro-finite element (μFE) simulations have been shown to correlate well with results obtained by mechanical testing of cadaveric bone. However, most existing large-scale finite-element simulation programs require significant computing resources, which hamper their use in common laboratory and clinical environments. In this work, we theoretically derive and computationally evaluate the resources needed to perform such simulations (in terms of computer memory and computation time), which are dependent on the number of finite elements in the image-derived bo
SUBMITTER: Magland JF
PROVIDER: S-EPMC3338413 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
ACCESS DATA