Measurement of bone density based on three-dimensional reconstruction and finite element analysis
10.3969/j.issn.1673-8225.2010.09.005
- VernacularTitle:基于三维重建技术及有限元分析的骨密度测量
- Author:
Guodong ZHANG
;
Shengxiang TAO
;
Wenyu MAO
;
Jianqiao CHEN
;
Xiagang LUAN
;
Xiaohui ZHENG
;
Weijing LIAO
- Publication Type:Journal Article
- From:
Chinese Journal of Tissue Engineering Research
2010;14(9):1539-1544
- CountryChina
- Language:Chinese
-
Abstract:
BACKGROUND:To decrease operation amount of finite element analysis and increase its clinical practice,previous studies explored the material properties and 10 kinds of material attributes were assigned,which met the requirements of finite element analysis.Moreover,it can be used to calculate bone density.OBJECTIVE:To explore a method for measurement of bone density based on three-dimensional reconstruction and finite element analysis.METHODS:A total of 11 specimens of femoral superior segment were selected.The mass of control group was firstly measured.The experimental groups were treated with thin-slice high resolution CT scan and three-dimensional reconstruction in Mimics 10.0,volume meshing in Ansys,assigned with 10,100 and 400 kinds of material attributes Mimics,exported to Ansys to calculat the volumes of the block elements of every types of material attributes.The mass and the density of the specimens was harvested according to the empirical formula concerning the gray value and the bone density.All results were treated with one-way ANOVA.RESULTS AND CONCLUSION:One-way ANOVA showed that there were no significant differences between control group and experimental groups assigned with 10,100 and 400 kinds of material attributes (P>0.28),and there were no significantly among the experimental groups (P>0.8).Results show that the method was able to measure the mass and the density of bone quantitatively,as well as the proportion between compact bone and cancellous bone;to assign 10 kinds of material attributes to three-dimensional model of femur could match the needs for measurements.The results can be used as an initial preparation for the unification of bone density and finite element analysis for osteoporosis.