2006
DOI: 10.1016/j.cma.2005.02.016
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive and quality quadrilateral/hexahedral meshing from volumetric data

Abstract: This paper describes an algorithm to extract adaptive and quality quadrilateral/hexahedral meshes directly from volumetric data. First, a bottom-up surface topology preserving octree-based algorithm is applied to select a starting octree level. Then the dual contouring method is used to extract a preliminary uniform quad/hex mesh, which is decomposed into finer quads/hexes adaptively without introducing any hanging nodes. The positions of all boundary vertices are recalculated to approximate the boundary surfa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
161
0

Year Published

2007
2007
2017
2017

Publication Types

Select...
6
1
1

Relationship

2
6

Authors

Journals

citations
Cited by 207 publications
(161 citation statements)
references
References 29 publications
0
161
0
Order By: Relevance
“…Elements within a 5 element thick region surrounding the electrodes were split into smaller elements to allow for a higher local mesh density. 24 Using a lookup table with conductivity values, the segmented label map was transformed into a conductivity map of the torso, whose values were then projected onto the computational mesh by sampling with linear interpolation. Conductivities for the individual tissues were based on values derived from the literature as follows (all in siemens/meter): bowel gas 0.002, connective tissue 0.220, liver 0.150, kidney 0.070, skeletal muscle 0.250, fat 0.050, bone 0.006, lung 0.067, blood 0.700, myocardium 0.250.…”
Section: Meshing and Finite Element Calculationmentioning
confidence: 99%
“…Elements within a 5 element thick region surrounding the electrodes were split into smaller elements to allow for a higher local mesh density. 24 Using a lookup table with conductivity values, the segmented label map was transformed into a conductivity map of the torso, whose values were then projected onto the computational mesh by sampling with linear interpolation. Conductivities for the individual tissues were based on values derived from the literature as follows (all in siemens/meter): bowel gas 0.002, connective tissue 0.220, liver 0.150, kidney 0.070, skeletal muscle 0.250, fat 0.050, bone 0.006, lung 0.067, blood 0.700, myocardium 0.250.…”
Section: Meshing and Finite Element Calculationmentioning
confidence: 99%
“…On the one hand, the standard grid-based methods [7][8][9][10][11] are the only family of hexahedral mesh generation algorithms that are robust and fully automatic. In addition, they generate high-quality meshes in the inner part of the mesh.…”
Section: Introductionmentioning
confidence: 99%
“…The comparison of the three quality criteria (the scaled Jacobian, the condition number and Oddy metric) before/after the quality improvement for quad/hex meshes of the human head ( Figure 12) and Ribosome 30S (Figure 1). DATA 1 -before quality improvement; DATA 2 -after quality improvement using the optimization scheme in [2] [3]; DATA 3 -after quality improvement using the combined geometric flow/optimization-based approach. In [2] [3], an optimization approach was used to improve the quality of quad/hex meshes.…”
Section: Results and Applicationsmentioning
confidence: 99%
“…DATA 1 -before quality improvement; DATA 2 -after quality improvement using the optimization scheme in [2] [3]; DATA 3 -after quality improvement using the combined geometric flow/optimization-based approach. In [2] [3], an optimization approach was used to improve the quality of quad/hex meshes. The goal is to remove all the inverted elements and improve the worst condition number of the Jacobian matrix.…”
Section: Results and Applicationsmentioning
confidence: 99%
See 1 more Smart Citation