Volume mesh generation and finite element analysis of trabecular bone magnetic resonance images

Ángel Alberich-Bayarri, David Moratal, Luis Martí-Bonmatí, Manuel Salmerón-Sánchez, Ana Vallés-Lluch, Laura Nieto-Charques, José J. Rieta

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

7 Citations (Scopus)

Abstract

In order to help the assessment of trabecular bone diseases and complement Dual X-Ray Absorptiometry (DXA) in diagnosis process, it is needed an accurate mechanical characterization of trabecular bone structure to estimate the risk of fracture and evaluate micro-architecture deterioration. As Finite Element modeling has become a well-established method for analysis of complex structures, an algorithm has been developed to build a Finite Element mesh from threedimensional reconstruction information in voxels. Generated mesh is loaded in a Finite Element analysis software in order to simulate micro-architecture mechanical behavior under compression conditions. Most part of related researches have been based on ex vivo micro-Computed Tomography (μCT) scans. This study uses three-dimensional trabecular bone reconstructions from high resolution Magnetic Resonance images acquired in vivo.

Original languageEnglish
Title of host publication29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Pages1603-1606
Number of pages4
DOIs
Publication statusPublished - Dec 1 2007
Externally publishedYes
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: Aug 23 2007Aug 26 2007

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Other

Other29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Country/TerritoryFrance
CityLyon
Period8/23/078/26/07

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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