The effect of hormone treatment on the plastic characteristic of osteoporotic vertebral trabecular bone

D. G. Woo, H. S. Kim

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Many researchers have investigated the elastic characteristic of trabecular bones by using the microfinite element (Micro-FE) models based on the microcomputed tomography (Micro-CT). However, there were few micro-FE models to account for the plastic characteristic of trabecular bones. The present study analyzed the plastic characteristic as well as the elastic characteristic of the trabecular bone and evaluated the effect of specimen size on the plastic characteristic of vertebral trabecular bones. Previous researchers reported that a cubic specimen with side length 6.5mm was suggested as a standard specimen for the experimental tests of trabecular bones. The present study examined whether the effects of the specimen size on the experimental tests may be also applied to the simulated compression test of trabecular bone specimens and investigated the effect of voxel resolution on the plastic characteristic of micro-FE models. The results illustrate that in the simulated compression test to analyze mechanical characteristics of vertebral trabecular bones, it is recommended to use a cubic specimen with side length 6.5mm rather than a cubic specimen with side length 4mm. It is also found that the hormone therapy is likely to be less effective than the amount reported by previous researcher for 2D models.

Original languageEnglish
Pages (from-to)5084-5087
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 VII
Publication statusPublished - 2004 Dec 1
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: 2004 Sep 12004 Sep 5

All Science Journal Classification (ASJC) codes

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

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