Literature DB >> 11470121

Merging of intersecting triangulations for finite element modeling.

J R Cebral1, R Löhner, P L Choyke, P J Yim.   

Abstract

Surface mesh generation over intersecting triangulations is a problem common to many branches of biomechanics. A new strategy for merging intersecting triangulations is described. The basis of the method is that object surfaces are represented as the zero-level iso-surface of the distance-to-surface function defined on a background grid. Thus, the triangulation of intersecting objects reduces to the extraction of an iso-surface from an unstructured grid. In a first step, a regular background mesh is constructed. For each point of the background grid, the closest distance to the surface of each object is computed. Background points are then classified as external or internal by checking the direction of the surface normal at the closest location and assigned a positive or negative distance, respectively. Finally, the zero-level iso-surface is constructed. This is the final triangulation of the intersecting objects. The overall accuracy is enhanced by adaptive refinement of the background grid elements. The resulting surface models are used as support surfaces to generate three-dimensional grids for finite element analysis. The algorithms are demonstrated by merging arterial branches independently reconstructed from contrast-enhanced magnetic resonance images and by adding extra features such as vascular stents. Although the methodology is presented in the context of finite element analysis of blood flow, the algorithms are general and can be applied in other areas as well.

Mesh:

Year:  2001        PMID: 11470121     DOI: 10.1016/s0021-9290(01)00018-5

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  6 in total

1.  Computational fluid dynamics modeling of intracranial aneurysms: effects of parent artery segmentation on intra-aneurysmal hemodynamics.

Authors:  M A Castro; C M Putman; J R Cebral
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

2.  Simulation of blood flow in deformable vessels using subject-specific geometry and spatially varying wall properties.

Authors:  Guanglei Xiong; C Alberto Figueroa; Nan Xiao; Charles A Taylor
Journal:  Int J Numer Method Biomed Eng       Date:  2011-07       Impact factor: 2.747

3.  Virtual Interventions for Image-based Blood Flow Computation.

Authors:  Guanglei Xiong; Gilwoo Choi; Charles A Taylor
Journal:  Comput Aided Des       Date:  2012-01       Impact factor: 3.027

4.  Hemodynamic patterns of anterior communicating artery aneurysms: a possible association with rupture.

Authors:  M A Castro; C M Putman; M J Sheridan; J R Cebral
Journal:  AJNR Am J Neuroradiol       Date:  2009-01-08       Impact factor: 3.825

5.  Hemodynamics in Normal Cerebral Arteries: Qualitative Comparison of 4D Phase-Contrast Magnetic Resonance and Image-Based Computational Fluid Dynamics.

Authors:  Juan R Cebral; Christopher M Putman; Marcus T Alley; Thomas Hope; Roland Bammer; Fernando Calamante
Journal:  J Eng Math       Date:  2009-08-01       Impact factor: 1.509

6.  Hemodynamics and bleb formation in intracranial aneurysms.

Authors:  J R Cebral; M Sheridan; C M Putman
Journal:  AJNR Am J Neuroradiol       Date:  2009-10-01       Impact factor: 3.825

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.