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  5. Automated hexahedral mesh generation of complex biological objects. Dedicated to the memory of Professor K. Bertram Broberg, colleague and friend
 
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Automated hexahedral mesh generation of complex biological objects. Dedicated to the memory of Professor K. Bertram Broberg, colleague and friend

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Download Gilchrist_72 done.pdf3.63 MB
Author(s)
Canton, Barry 
Gilchrist, M. D. 
Uri
http://hdl.handle.net/10197/4688
Date Issued
28 April 2010
Date Available
03T08:57:06Z October 2013
Abstract
This paper describes the development of a new automatic mesh generator for complex biological objects based on voxel hexahedral meshing (VHM). The system produces hexahedral meshes with multiple material classifications from three-dimensional (3D) computed tomography (CT) datasets. The quality of the VHM meshes is improved using a series of mesh connectivity improvement algorithms, leading to the application of a new and novel boundary smoothing algorithm. The boundary smoothing algorithm classifies boundary nodes into different groups based on the configuration of their neighbouring elements: this provides a varying compromise between smoothness and element distortion. The high anatomic detail of which the method is capable is shown for meshes of single and mixed material types. This system illustrates how to harness the speed and simplicity of VHM as an initial mesh generator while simultaneously improving the quality of those meshes with additional meshing techniques. MATLAB code for this software is freely available for research purposes upon request.
Type of Material
Journal Article
Publisher
IOS Press
Journal
Strength, Fracture and Complexity
Volume
6
Issue
1-2
Start Page
51
End Page
68
Copyright (Published Version)
2010 IOS Press
Keywords
  • Mesh generation

  • Laplacian smoothing

  • Voxel mesh

  • Hexahedral element

DOI
10.3233/SFC-2010-0105
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Mechanical & Materials Engineering Research Collection
Scopus© citations
0
Acquisition Date
Jan 28, 2023
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1574
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Jan 29, 2023
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