Image-based meshing: Difference between revisions

Revision as of 09:05, 6 August 2010

Revision as of 21:17, 28 December 2010

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===CAD-based approach===

The majority of approaches used to date still follow the traditional CAD route by using an intermediary step of surface reconstruction which is then followed by a traditional CAD-based meshing algorithm.<ref>Viceconti et al, 1998. TRI2SOLID: an application of reverse engineering methods to the creation of CAD models of bone segments. Computer Methods and Programs in Biomedicine, 56, 211–220.</ref>. CAD-based approaches use the scan data to define the surface of the ___domain and then create elements within this defined boundary. Although reasonably robust algorithms are now available, these techniques are often time consuming, and virtually intractable for the complex topologies typical of image data. They also do not easily allow for more than one ___domain to be meshed, as multiple surfaces are often non-conforming with gaps or overlaps at interfaces where one or more structures meet.<ref>Young et al, 2008. An efficient approach to converting 3D image data into highly accurate computational models. ''Philosophical Transactions of the Royal Society A'', 366, 3155&ndash;3173.</ref>.

===Image-based approach===

This approach is the more direct way as it combines the geometric detection and mesh creation stages in one process which offers a more robust and accurate result than meshing from surface data. The most commonly applied meshing procedures are the voxel conversion technique providing meshes with brick elements <ref>Fyhrie et al, 1993. The probability distribution of trabecular level strains for vertebral cancellous bone. Transactions of the 39th Annual Meeting of the Orthopaedic Research Society, San Francisco.</ref> and the [[Marching cubes]] algorithm providing meshes with tetrahedral elements .<ref>Frey et al, 1994. Fully automatic mesh generation for 3-D domains based upon voxel sets. ''International Journal of Methods in Engineering'', 37, 2735–2753.</ref>.

A newer enhanced volumetric marching cubes approach generates 3D hexahedral or tetrahedral elements throughout the volume of the ___domain, thus creating the mesh directly with conforming multipart surfaces. In the case of modeling complex topologies with possibly hundreds of disconnected domains, this approach is remarkably straightforward, robust, accurate and efficient.<ref>Young et al, 2008. An efficient approach to converting 3D image data into highly accurate computational models. ''Philosophical Transactions of the Royal Society A'', 366, 3155&ndash;3173.</ref>.

==Generating a model==

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* Simpleware commercial image-based meshing software: [http://www.simpleware.com www.simpleware.com]

* Google group on image-based modelling: [http://groups.google.co.uk/group/image-based-modelling]

* [[Avizo_Avizo (software)|Avizo Software]]'s 3D image-based meshing tools for CFD and FEA

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[[Category:Numerical differential equations]]

[[Category:Numerical analysis]]