Finite element mesh generation and remeshing from segmented medical images

Ashraf Mohamed, Christos Davatzikos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present an approach for the automatic generation of patient-specific tetrahedral finite-element (FE) meshes from multiple-label segmented medical images. The approach uses a mesh refinement method with guaranteed tetrahedral element quality and includes a post-processing step with operations to change the mesh topology. Results indicate good approximation of the meshed geometry and acceptable simulation errors for a mechanical problem with a known analytical solution. We also present a method for correcting mesh distortion associated with large-deformation mechanical problems such as those that can arise in dealing with biological soft tissues. This adaptive remehsing scheme is driven by an estimate of the local a posteriori FE error profile. Finally, we demonstrate the use of our approach to carry out a large-deformation simulation of non-infiltrating brain tumor growth starting from a segmented medical image.

Original languageEnglish (US)
Title of host publication2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationMacro to Nano
Pages420-423
Number of pages4
StatePublished - Dec 1 2004
Event2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States
Duration: Apr 15 2004Apr 18 2004

Publication series

Name2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume1

Other

Other2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
CountryUnited States
CityArlington, VA
Period4/15/044/18/04

ASJC Scopus subject areas

  • Engineering(all)

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