schliessen

Filtern

 

Bibliotheken

High-quality mesh generation for human hip based on ideal element size: methods and evaluation

The objective of this work was to obtain high-quality mesh generation results for the human hip. This study adopted an edge-collapse algorithm based on quadric error metrics to simplify the hip model. The adjacent triangular areas and a cost function that considered the mean value of error were intr... Full description

Journal Title: Computer Assisted Surgery 31 October 2017, Vol.22, pp.212-220
Main Author: Wang, Monan
Other Authors: Gao, Jian , Wang, Xinyu
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 2469-9322 ; DOI: 10.1080/24699322.2017.1389399
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: informaworld_s10_1080_24699322_2017_1389399
title: High-quality mesh generation for human hip based on ideal element size: methods and evaluation
format: Article
creator:
  • Wang, Monan
  • Gao, Jian
  • Wang, Xinyu
subjects:
  • Human Hip
  • High-Quality Mesh
  • Model Simplification
  • Advancing-Front Technique
  • Delaunay Algorithm
ispartof: Computer Assisted Surgery, 31 October 2017, Vol.22, pp.212-220
description: The objective of this work was to obtain high-quality mesh generation results for the human hip. This study adopted an edge-collapse algorithm based on quadric error metrics to simplify the hip model. The adjacent triangular areas and a cost function that considered the mean value of error were introduced to avoid error accumulation and ensure invariant geometric features. Local mesh refinement was achieved by constructing a comprehensive size field. Finally, high-quality surface and volume meshes were generated using the advancing-front technique (AFT) and Delaunay algorithms. Two human hipbones, 13 muscles, and one articular cartilage sample were modelled. The hip model was simplified and the mesh was generated using the method proposed in this study. The smallest angle of most surface mesh elements was greater than 45°, and the triangular numbers in this optimal angle interval were superior to those generated by the AFT algorithms. Eight quality evaluation parameters of the mesh model were tested using the check-elems tool. The femoral meshing results in this work were more accurate than those obtained with the AFT algorithms. The results of the vastus lateralis mesh generation were superior to the results obtained with the existing algorithm, except for the volume skew parameter. The proportions for the high-quality tetrahedral elements obtained using Wang's algorithm for the femur and the vastuslateralis muscle were 17.81% and 24.50%, respectively. The proportions obtained using the hypermesh software were 16.31% and 22.87% for the femoral and vastuslateralis models, respectively. The proposed method had better adaptability to the complex model. The generated mesh was uniform and contained smooth transitions. The mesh generation result was similar to the original geometric model, which made the assembly model fit more accurately. This was significant for the convergence of the finite-element analysis program.
language: eng
source:
identifier: E-ISSN: 2469-9322 ; DOI: 10.1080/24699322.2017.1389399
fulltext: fulltext_linktorsrc
issn:
  • 2469-9322
  • 24699322
url: Link


@attributes
ID732162685
RANK0.07
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
LOCALfalse
PrimoNMBib
record
control
sourcerecordid10_1080_24699322_2017_1389399
sourceidinformaworld_s
recordidTN_informaworld_s10_1080_24699322_2017_1389399
sourcesystemOther
dbid
00YH
1ADCVX
2TFL
3TFMNY
4TFW
pqid2196716856
display
typearticle
titleHigh-quality mesh generation for human hip based on ideal element size: methods and evaluation
creatorWang, Monan ; Gao, Jian ; Wang, Xinyu
ispartofComputer Assisted Surgery, 31 October 2017, Vol.22, pp.212-220
identifierE-ISSN: 2469-9322 ; DOI: 10.1080/24699322.2017.1389399
subjectHuman Hip ; High-Quality Mesh ; Model Simplification ; Advancing-Front Technique ; Delaunay Algorithm
descriptionThe objective of this work was to obtain high-quality mesh generation results for the human hip. This study adopted an edge-collapse algorithm based on quadric error metrics to simplify the hip model. The adjacent triangular areas and a cost function that considered the mean value of error were introduced to avoid error accumulation and ensure invariant geometric features. Local mesh refinement was achieved by constructing a comprehensive size field. Finally, high-quality surface and volume meshes were generated using the advancing-front technique (AFT) and Delaunay algorithms. Two human hipbones, 13 muscles, and one articular cartilage sample were modelled. The hip model was simplified and the mesh was generated using the method proposed in this study. The smallest angle of most surface mesh elements was greater than 45°, and the triangular numbers in this optimal angle interval were superior to those generated by the AFT algorithms. Eight quality evaluation parameters of the mesh model were tested using the check-elems tool. The femoral meshing results in this work were more accurate than those obtained with the AFT algorithms. The results of the vastus lateralis mesh generation were superior to the results obtained with the existing algorithm, except for the volume skew parameter. The proportions for the high-quality tetrahedral elements obtained using Wang's algorithm for the femur and the vastuslateralis muscle were 17.81% and 24.50%, respectively. The proportions obtained using the hypermesh software were 16.31% and 22.87% for the femoral and vastuslateralis models, respectively. The proposed method had better adaptability to the complex model. The generated mesh was uniform and contained smooth transitions. The mesh generation result was similar to the original geometric model, which made the assembly model fit more accurately. This was significant for the convergence of the finite-element analysis program.
languageeng
oafree_for_read
source
version5
lds50peer_reviewed
links
openurl$$Topenurl_article
openurlfulltext$$Topenurlfull_article
linktorsrc$$Uhttp://www.tandfonline.com/doi/abs/10.1080/24699322.2017.1389399$$EView_record_in_Taylor_&_Francis
search
creatorcontrib
0Wang, Monan
1Gao, Jian
2Wang, Xinyu
titleHigh-quality mesh generation for human hip based on ideal element size: methods and evaluation
description

The objective of this work was to obtain high-quality mesh generation results for the human hip. This study adopted an edge-collapse algorithm based on quadric error metrics to simplify the hip model. The adjacent triangular areas and a cost function that considered the mean value of error were introduced to avoid error accumulation and ensure invariant geometric features. Local mesh refinement was achieved by constructing a comprehensive size field. Finally, high-quality surface and volume meshes were generated using the advancing-front technique (AFT) and Delaunay algorithms. Two human hipbones, 13 muscles, and one articular cartilage sample were modelled. The hip model was simplified and the mesh was generated using the method proposed in this study. The smallest angle of most surface mesh elements was greater than 45°, and the triangular numbers in this optimal angle interval were superior to those generated by the AFT algorithms. Eight quality evaluation parameters of the mesh model were tested using the check-elems tool. The femoral meshing results in this work were more accurate than those obtained with the AFT algorithms. The results of the vastus lateralis mesh generation were superior to the results obtained with the existing algorithm, except for the volume skew parameter. The proportions for the high-quality tetrahedral elements obtained using Wang's algorithm for the femur and the vastuslateralis muscle were 17.81% and 24.50%, respectively. The proportions obtained using the hypermesh software were 16.31% and 22.87% for the femoral and vastuslateralis models, respectively. The proposed method had better adaptability to the complex model. The generated mesh was uniform and contained smooth transitions. The mesh generation result was similar to the original geometric model, which made the assembly model fit more accurately. This was significant for the convergence of the finite-element analysis program.

subject
0Human Hip
1High-Quality Mesh
2Model Simplification
3Advancing-Front Technique
4Delaunay Algorithm
general
0English
1Taylor & Francis
210.1080/24699322.2017.1389399
3Taylor & Francis Online - Open Access Journals
4Taylor & Francis Online - Journals
5Taylor & Francis (Taylor & Francis Group)
sourceidinformaworld_s
recordidinformaworld_s10_1080_24699322_2017_1389399
issn
02469-9322
124699322
rsrctypearticle
creationdate2017
addtitleComputer Assisted Surgery
searchscope
0informaworld_full
1informaworld4
2informaworld2
scope
0informaworld_full
1informaworld4
2informaworld2
lsr45$$EView_record_in_Taylor_&_Francis
tmp01Taylor & Francis (Taylor & Francis Group)
tmp02
00YH
1ADCVX
2TFL
3TFMNY
4TFW
startdate20171031
enddate20171031
lsr40Computer Assisted Surgery, 31 October 2017, Vol.22, pp.212-220
doi10.1080/24699322.2017.1389399
citationpf 212 pt 220 vol 22
lsr30VSR-Enriched:[issue, pqid]
sort
titleHigh-quality mesh generation for human hip based on ideal element size: methods and evaluation
authorWang, Monan ; Gao, Jian ; Wang, Xinyu
creationdate20171031
lso0120171031
facets
frbrgroupid803850831140767056
frbrtype5
newrecords20190718
languageeng
topic
0Human Hip
1High-Quality Mesh
2Model Simplification
3Advancing-Front Technique
4Delaunay Algorithm
collection
0Taylor & Francis Online - Open Access Journals
1Taylor & Francis Online - Journals
prefilterarticles
rsrctypearticles
creatorcontrib
0Wang, Monan
1Gao, Jian
2Wang, Xinyu
jtitleComputer Assisted Surgery
creationdate2017
toplevelpeer_reviewed
delivery
delcategoryRemote Search Resource
fulltextfulltext_linktorsrc
addata
aulast
0Wang
1Gao
aufirst
0Monan
1Jian
2Xinyu
auinitM
auinit1M
au
0Wang, Monan
1Gao, Jian
2Wang, Xinyu
atitleHigh-quality mesh generation for human hip based on ideal element size: methods and evaluation
jtitleComputer Assisted Surgery
risdate20171031
volume22
spage212
epage220
pages212-220
eissn2469-9322
formatjournal
genrearticle
ristypeJOUR
abstract

The objective of this work was to obtain high-quality mesh generation results for the human hip. This study adopted an edge-collapse algorithm based on quadric error metrics to simplify the hip model. The adjacent triangular areas and a cost function that considered the mean value of error were introduced to avoid error accumulation and ensure invariant geometric features. Local mesh refinement was achieved by constructing a comprehensive size field. Finally, high-quality surface and volume meshes were generated using the advancing-front technique (AFT) and Delaunay algorithms. Two human hipbones, 13 muscles, and one articular cartilage sample were modelled. The hip model was simplified and the mesh was generated using the method proposed in this study. The smallest angle of most surface mesh elements was greater than 45°, and the triangular numbers in this optimal angle interval were superior to those generated by the AFT algorithms. Eight quality evaluation parameters of the mesh model were tested using the check-elems tool. The femoral meshing results in this work were more accurate than those obtained with the AFT algorithms. The results of the vastus lateralis mesh generation were superior to the results obtained with the existing algorithm, except for the volume skew parameter. The proportions for the high-quality tetrahedral elements obtained using Wang's algorithm for the femur and the vastuslateralis muscle were 17.81% and 24.50%, respectively. The proportions obtained using the hypermesh software were 16.31% and 22.87% for the femoral and vastuslateralis models, respectively. The proposed method had better adaptability to the complex model. The generated mesh was uniform and contained smooth transitions. The mesh generation result was similar to the original geometric model, which made the assembly model fit more accurately. This was significant for the convergence of the finite-element analysis program.

pubTaylor & Francis
doi10.1080/24699322.2017.1389399
urlhttp://www.tandfonline.com/doi/abs/10.1080/24699322.2017.1389399
oafree_for_read
issuesup1
date2017-10-31