Relationship between apparent elastic modulus and microstructural parameters of senile vertebral trabecular bone

He Gong, Dong Zhu, Zhitao Xiao, Xizheng Zhang, Ming Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The aim of this paper is to investigate the influence of microstructural parameters of senile vertebral cancellous bone on the apparent elastic moduli of three orthogonal directions. Thirty-six cubic regions of interest were obtained from six L4 vertebral bodies with the ages of 60-70. After scanned by a Micro-Computed Tomography (Micro-CT) system, seven 3D microstructural parameters were derived. Micro-finite element models were built to simulate axial compression test along three orthogonal directions. It was shown that strong correlations existed among the 7 microstructural parameters. Principal component analysis (PCA) was performed to extract 3 independent principal components (PCs), which represented bone "quality", bone quantity & microarchitecture, and trabecular thickness, respectively. The apparent elastic moduli on the three orthogonal directions were significantly correlated with these three PCs. Compared with using bone mass alone, the three PCs could better explain the variance of the apparent elastic moduli on the three orthogonal directions.
Original languageEnglish
Title of host publicationProceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Pages1353-1356
Number of pages4
Volume3
DOIs
Publication statusPublished - 1 Dec 2010
Event3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 - Yantai, China
Duration: 16 Oct 201018 Oct 2010

Conference

Conference3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010
Country/TerritoryChina
CityYantai
Period16/10/1018/10/10

Keywords

  • Bone volume
  • Micro-finite element analysis
  • Microstructural parameter
  • Vertebral body

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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