• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

网格匹配算法:一种用于有限元结构的自动三维网格生成器。

The mesh-matching algorithm: an automatic 3D mesh generator for finite element structures.

作者信息

Couteau B, Payan Y, Lavallée S

机构信息

INSERM U518, Pathologies ostéoarticulaires, C.H.U. Purpan, BP 3103, 31026 3, Toulouse cedex, France.

出版信息

J Biomech. 2000 Aug;33(8):1005-9. doi: 10.1016/s0021-9290(00)00055-5.

DOI:10.1016/s0021-9290(00)00055-5
PMID:10828331
Abstract

Several authors have employed finite element analysis for stress and strain analysis in orthopaedic biomechanics. Unfortunately, the definition of three-dimensional models is time consuming (mainly because of the manual 3D meshing process) and consequently the number of analyses to be performed is limited. The authors have investigated a new patient-specific method allowing automatically 3D mesh generation for structures as complex as bone for example. This method, called the mesh-matching (M-M) algorithm, generated automatically customized 3D meshes of anatomical structures from an already existing model. The M-M algorithm has been used to generate FE models of 10 proximal human femora from an initial one which had been experimentally validated. The automatically generated meshes seemed to demonstrate satisfying results.

摘要

几位作者已将有限元分析用于骨科生物力学中的应力和应变分析。不幸的是,三维模型的定义很耗时(主要是因为手动三维网格划分过程),因此要进行的分析数量有限。作者们研究了一种新的针对特定患者的方法,该方法能够自动为诸如骨骼等复杂结构生成三维网格。这种方法称为网格匹配(M-M)算法,它能从已有的模型中自动生成解剖结构的定制三维网格。M-M算法已被用于从一个经过实验验证的初始模型生成10个近端人类股骨的有限元模型。自动生成的网格似乎显示出令人满意的结果。

相似文献

1
The mesh-matching algorithm: an automatic 3D mesh generator for finite element structures.网格匹配算法:一种用于有限元结构的自动三维网格生成器。
J Biomech. 2000 Aug;33(8):1005-9. doi: 10.1016/s0021-9290(00)00055-5.
2
Growing multiblock structures: a semi-automated approach to block placement for multiblock hexahedral meshing.生长多块结构:一种用于多块六面体网格划分的块放置半自动方法。
Comput Methods Biomech Biomed Engin. 2012;15(10):1043-52. doi: 10.1080/10255842.2011.570338. Epub 2011 May 24.
3
A comparison between automatically generated linear and parabolic tetrahedra when used to mesh a human femur.用于对人体股骨进行网格划分时自动生成的线性四面体和抛物线四面体之间的比较。
Proc Inst Mech Eng H. 2001;215(1):85-94. doi: 10.1243/0954411011533562.
4
The use of sparse CT datasets for auto-generating accurate FE models of the femur and pelvis.使用稀疏CT数据集自动生成准确的股骨和骨盆有限元模型。
J Biomech. 2007;40(1):26-35. doi: 10.1016/j.jbiomech.2005.11.018. Epub 2006 Jan 20.
5
A universal algorithm for an improved finite element mesh generation Mesh quality assessment in comparison to former automated mesh-generators and an analytic model.一种用于改进有限元网格生成的通用算法:与先前的自动网格生成器和解析模型相比的网格质量评估。
Med Eng Phys. 2005 Jun;27(5):383-94. doi: 10.1016/j.medengphy.2004.10.004. Epub 2005 Jan 19.
6
Improving the local solution accuracy of large-scale digital image-based finite element analyses.提高基于数字图像的大规模有限元分析的局部解精度。
J Biomech. 2000 Feb;33(2):255-9. doi: 10.1016/s0021-9290(99)00141-4.
7
Automatic generation of accurate subject-specific bone finite element models to be used in clinical studies.自动生成准确的特定个体骨骼有限元模型以用于临床研究。
J Biomech. 2004 Oct;37(10):1597-605. doi: 10.1016/j.jbiomech.2003.12.030.
8
Generating smooth surface meshes from multi-region medical images.从多区域医学图像生成平滑曲面网格。
Int J Numer Method Biomed Eng. 2012 Jun-Jul;28(6-7):642-60. doi: 10.1002/cnm.1471. Epub 2011 Oct 17.
9
A comparative study on different methods of automatic mesh generation of human femurs.人体股骨自动网格生成不同方法的比较研究。
Med Eng Phys. 1998 Jan;20(1):1-10. doi: 10.1016/s1350-4533(97)00049-0.
10
Image-based vs. mesh-based statistical appearance models of the human femur: implications for finite element simulations.基于图像与基于网格的人体股骨统计外观模型:对有限元模拟的影响。
Med Eng Phys. 2014 Dec;36(12):1626-35. doi: 10.1016/j.medengphy.2014.09.006. Epub 2014 Sep 27.

引用本文的文献

1
Subject-Specific Head Model Generation by Mesh Morphing: A Personalization Framework and Its Applications.通过网格变形生成特定个体头部模型:一种个性化框架及其应用
Front Bioeng Biotechnol. 2021 Oct 18;9:706566. doi: 10.3389/fbioe.2021.706566. eCollection 2021.
2
Personalized biomechanical tongue models based on diffusion-weighted MRI and validated using optical tracking of range of motion.基于扩散加权 MRI 的个性化生物力学舌模型,并使用运动范围的光学跟踪进行验证。
Biomech Model Mechanobiol. 2021 Jun;20(3):1101-1113. doi: 10.1007/s10237-021-01435-7. Epub 2021 Mar 7.
3
Biomechanical modeling and computer simulation of the brain during neurosurgery.
神经外科手术中大脑的生物力学建模与计算机模拟。
Int J Numer Method Biomed Eng. 2019 Oct;35(10):e3250. doi: 10.1002/cnm.3250. Epub 2019 Sep 5.
4
Automated subject-specific, hexahedral mesh generation via image registration.通过图像配准实现特定于个体的自动六面体网格生成。
Finite Elem Anal Des. 2011 Oct 1;47(10):1178-1185. doi: 10.1016/j.finel.2011.05.007.
5
Comparison of Displacement-Based and Force-Based Mapped Meshing.基于位移和基于力的映射网格划分的比较
Midas J. 2008 Aug 14;2008:629.
6
Real-Time Nonlinear Finite Element Computations on GPU - Application to Neurosurgical Simulation.基于图形处理器的实时非线性有限元计算——在神经外科手术模拟中的应用
Comput Methods Appl Mech Eng. 2010 Dec 15;199(49-52):3305-3314. doi: 10.1016/j.cma.2010.06.037.
7
Morphing methods to parameterize specimen-specific finite element model geometries.形态学方法对特定于样本的有限元模型几何形状进行参数化。
J Biomech. 2010 Jan 19;43(2):254-62. doi: 10.1016/j.jbiomech.2009.08.036. Epub 2009 Oct 29.
8
Computational reconstruction of cell and tissue surfaces for modeling and data analysis.用于建模和数据分析的细胞与组织表面的计算重建。
Nat Protoc. 2009;4(7):1006-12. doi: 10.1038/nprot.2009.94. Epub 2009 Jun 4.
9
Suite of finite element algorithms for accurate computation of soft tissue deformation for surgical simulation.用于手术模拟中精确计算软组织变形的有限元算法套件。
Med Image Anal. 2009 Dec;13(6):912-9. doi: 10.1016/j.media.2008.12.001. Epub 2008 Dec 24.